Tootfinder

UniTac: Whole-Robot Touch Sensing Without Tactile Sensors
Wanjia Fu, Hongyu Li, Ivy X. He, Stefanie Tellex, Srinath Sridhar
https://arxiv.org/abs/2507.07980

UniTac: Whole-Robot Touch Sensing Without Tactile Sensors
Robots can better interact with humans and unstructured environments through touch sensing. However, most commercial robots are not equipped with tactile skins, making it challenging to achieve even basic touch-sensing functions, such as contact localization. We present UniTac, a data-driven whole-body touch-sensing approach that uses only proprioceptive joint sensors and does not require the installation of additional sensors. Our approach enables a robot equipped solely with joint sensors to …

Cross-Channel Unlabeled Sensing over a Union of Signal Subspaces
Taulant Koka, Manolis C. Tsakiris, Benjam\'in B\'ejar Haro, Michael Muma
https://arxiv.org/abs/2506.09773 …

Cross-Channel Unlabeled Sensing over a Union of Signal Subspaces
Cross-channel unlabeled sensing addresses the problem of recovering a multi-channel signal from measurements that were shuffled across channels. This work expands the cross-channel unlabeled sensing framework to signals that lie in a union of subspaces. The extension allows for handling more complex signal structures and broadens the framework to tasks like compressed sensing. These mismatches between samples and channels often arise in applications such as whole-brain calcium imaging of freely…

AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift
Eunsu Baek, Keondo Park, Jeonggil Ko, Min-hwan Oh, Taesik Gong, Hyung-Sin Kim
https://arxiv.org/abs/2507.07820

AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift
Current AI advances largely rely on scaling neural models and expanding training datasets to achieve generalization and robustness. Despite notable successes, this paradigm incurs significant environmental, economic, and ethical costs, limiting sustainability and equitable access. Inspired by biological sensory systems, where adaptation occurs dynamically at the input (e.g., adjusting pupil size, refocusing vision)--we advocate for adaptive sensing as a necessary and foundational shift. Adaptiv…

Incentive Mechanism for Mobile Crowd Sensing with Assumed Bid Cost Reverse Auction
Jowa Yangchin, Ningrinla Marchang
https://arxiv.org/abs/2507.07688 https…

Incentive Mechanism for Mobile Crowd Sensing with Assumed Bid Cost Reverse Auction
Mobile Crowd Sensing (MCS) is the mechanism wherein people can contribute in data collection process using their own mobile devices which have sensing capabilities. Incentives are rewards that individuals get in exchange for data they submit. Reverse Auction Bidding (RAB) is a framework that allows users to place bids for selling the data they collected. Task providers can select users to buy data from by looking at bids. Using the RAB framework, MCS system can be optimized for better user util…

Semi-fragile watermarking of remote sensing images using DWT, vector quantization and automatic tiling
Jordi Serra-Ruiz, David Meg\'ias
https://arxiv.org/abs/2507.07250

Semi-fragile watermarking of remote sensing images using DWT, vector quantization and automatic tiling
A semi-fragile watermarking scheme for multiple band images is presented in this article. We propose to embed a mark into remote sensing images applying a tree-structured vector quantization approach to the pixel signatures instead of processing each band separately. The signature of the multispectral or hyperspectral image is used to embed the mark in it order to detect any significant modification of the original image. The image is segmented into three-dimensional blocks, and a tree-structur…

Synergistic Localization and Sensing in MIMO-OFDM Systems via Mixed-Integer Bilevel Learning
Zelin Zhu, Kai Yang, Rui Zhang
https://arxiv.org/abs/2507.07118

Synergistic Localization and Sensing in MIMO-OFDM Systems via Mixed-Integer Bilevel Learning
Wireless localization and sensing technologies are essential in modern wireless networks, supporting applications in smart cities, the Internet of Things (IoT), and autonomous systems. High-performance localization and sensing systems are critical for both network efficiency and emerging intelligent applications. Integrating channel state information (CSI) with deep learning has recently emerged as a promising solution. Recent works have leveraged the spatial diversity of multiple input multipl…

Single Cu Atom Sites on Co3O4 Activate Interfacial Oxygen for Enhanced Reactivity and Selective Gas Sensing at Low Temperature
Hamin Shin, Matteo D'Andria, Jaehyun Ko, Dong-Ha Kim, Frank Krumeich, Andreas T. Guentner
https://arxiv.org/abs/2506.09761

Single Cu Atom Sites on Co3O4 Activate Interfacial Oxygen for Enhanced Reactivity and Selective Gas Sensing at Low Temperature
Controlling the redox landscape of transition metal oxides is central to advancing their reactivity for heterogeneous catalysis or high-performance gas sensing. Here we report single Cu atom sites (1.42 wt%) anchored on Co3O4 nanoparticles (Cu1-Co3O4) that dramatically enhance reactivity and molecular sensing properties of the support at low temperature. The Cu1 are identified by X-ray adsorption near edge structure and feature strong metal-support interaction between Cu2+ and Co3O4, as reveale…

Quantum sensing with ultracold simulators in lattice and ensemble systems: a review
Keshav Das Agarwal, Sayan Mondal, Ayan Sahoo, Debraj Rakshit, Aditi Sen De, Ujjwal Sen
https://arxiv.org/abs/2507.06348

Quantum sensing with ultracold simulators in lattice and ensemble systems: a review
Sensing of parameters is an important aspect in all disciplines, with applications ranging from fundamental science to medicine. Quantum sensing and metrology is an emerging field that lies at the cross-roads of quantum physics, quantum technology, and the discipline in which the parameter estimation is to be performed. While miniaturization of devices often requires quantum mechanics to be utilized for understanding and planning of a parameter estimation, quantum-enhanced sensing is also possi…

PhysioEdge: Multimodal Compressive Sensing Platform for Wearable Health Monitoring
Rens Baeyens, Dennis Laurijssen, Jan Steckel, Walter Daems
https://arxiv.org/abs/2507.07645

PhysioEdge: Multimodal Compressive Sensing Platform for Wearable Health Monitoring
The integration of compressive sensing with real-time embedded systems opens new possibilities for efficient, low-power biomedical signal acquisition. This paper presents a custom hardware platform based on the RP2350 micro-controller, tailored for synchronized multi-modal biomedical monitoring. The system is capable of capturing cardiopulmonary sounds, along with biopotential signals such as phonocardiography (PCG), electrocardiography (ECG) and electromyography (EMG), photoplethysmography (PP…

Distributed Surface Inspection via Operational Modal Analysis by a Swarm of Miniaturized Vibration-Sensing Robots
Thiemen Siemensma, Niels de Boer, Bahar Haghighat
https://arxiv.org/abs/2507.07724

Distributed Surface Inspection via Operational Modal Analysis by a Swarm of Miniaturized Vibration-Sensing Robots
Robot swarms offer the potential to serve a variety of distributed sensing applications. An interesting real-world application that stands to benefit significantly from deployment of swarms is structural monitoring, where traditional sensor networks face challenges in structural coverage due to their static nature. This paper investigates the deployment of a swarm of miniaturized vibration sensing robots to inspect and localize structural damages on a surface section within a high-fidelity simu…

EA: An Event Autoencoder for High-Speed Vision Sensing
Riadul Islam, Joey Mul\'e, Dhandeep Challagundla, Shahmir Rizvi, Sean Carson
https://arxiv.org/abs/2507.06459

EA: An Event Autoencoder for High-Speed Vision Sensing
High-speed vision sensing is essential for real-time perception in applications such as robotics, autonomous vehicles, and industrial automation. Traditional frame-based vision systems suffer from motion blur, high latency, and redundant data processing, limiting their performance in dynamic environments. Event cameras, which capture asynchronous brightness changes at the pixel level, offer a promising alternative but pose challenges in object detection due to sparse and noisy event streams. To…

Eigenvalue-Based Detection in MIMO Systems for Integrated Sensing and Communication
Alex Obando, Saman Atapattu, Prathapasinghe Dharmawansa, Akram Hourani, Kandeepan Sithamparanathan
https://arxiv.org/abs/2506.09439

Eigenvalue-Based Detection in MIMO Systems for Integrated Sensing and Communication
This paper considers a MIMO Integrated Sensing and Communication (ISAC) system, where a base station simultaneously serves a MIMO communication user and a remote MIMO sensing receiver, without channel state information (CSI) at the transmitter. Existing MIMO ISAC literature often prioritizes communication rate or detection probability, typically under constant false-alarm rate (CFAR) assumptions, without jointly analyzing detection reliability and communication constraints. To address this gap,…

Learned Off-Grid Imager for Low-Altitude Economy with Cooperative ISAC Network
Yixuan Huang, Jie Yang, Shuqiang Xia, Chao-Kai Wen, Shi Jin
https://arxiv.org/abs/2506.07799

Learned Off-Grid Imager for Low-Altitude Economy with Cooperative ISAC Network
The low-altitude economy is emerging as a key driver of future economic growth, necessitating effective flight activity surveillance using existing mobile cellular network sensing capabilities. However, traditional monostatic and localizationbased sensing methods face challenges in fusing sensing results and matching channel parameters. To address these challenges, we model low-altitude surveillance as a compressed sensing (CS)-based imaging problem by leveraging the cooperation of multiple bas…

GLOSS: Group of LLMs for Open-Ended Sensemaking of Passive Sensing Data for Health and Wellbeing
Akshat Choube, Ha Le, Jiachen Li, Kaixin Ji, Vedant Das Swain, Varun Mishra
https://arxiv.org/abs/2507.05461

GLOSS: Group of LLMs for Open-Ended Sensemaking of Passive Sensing Data for Health and Wellbeing
The ubiquitous presence of smartphones and wearables has enabled researchers to build prediction and detection models for various health and behavior outcomes using passive sensing data from these devices. Achieving a high-level, holistic understanding of an individual's behavior and context, however, remains a significant challenge. Due to the nature of passive sensing data, sensemaking -- the process of interpreting and extracting insights -- requires both domain knowledge and technical exper…

Sensing with Broken Symmetry: Revisiting Bound States in the Continuum
Brijesh Kumar, Elizaveta Tsiplakova, Samuel John, Parul Sharma, Nikolay Solodovchenko, Andrey Bogdanov, Shriganesh S. Prabhu, Abhishek Kumar, Anshuman Kumar
https://arxiv.org/abs/2507.05676

Sensing with Broken Symmetry: Revisiting Bound States in the Continuum
Metasurface with bound states in the continuum (BICs) offer exceptional potential for optical sensing due to their inherently high quality (Q) factors. However, the detection of symmetry-protected BICs remains experimentally challenging due to their non-radiative nature. Introducing slight asymmetry makes these resonances observable, though it reduces the Q-factor. In real devices, intrinsic material losses further affect the resonance behavior and sensing performance. While it is often assumed…

Near-Field Sensing Enabled Predictive Beamforming: Fundamentals, Framework, and Opportunities
Hao Jiang, Zhaolin Wang, Yue Liu, Hyundong Shin, Arumugam Nallanathan, Yuanwei Liu
https://arxiv.org/abs/2506.09225

Near-Field Sensing Enabled Predictive Beamforming: Fundamentals, Framework, and Opportunities
The article proposes a novel near-field predictive beamforming framework for high-mobility wireless networks. Specifically, due to the spherical waves and non-uniform Doppler frequencies brought by the near-field region, the new ability of full-dimensional location and velocity sensing is characterized. Building on this foundation, the near-field predictive beamforming framework is proposed to proactively design beamformers for mobility users following arbitrary trajectories. Compared to the co…

This https://arxiv.org/abs/2503.16217 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Enhanced quantum sensing in time-modulated non-Hermitian systems
Enhancing the sensitivity of quantum sensing near an exceptional point represents a significant phenomenon in non-Hermitian (NH) systems. However, the application of this property in time-modulated NH systems remains largely unexplored. In this work, we propose two theoretical schemes to achieve enhanced quantum sensing in time-modulated NH systems by leveraging the coalescence of eigenvalues and eigenstates. We conduct a comprehensive analysis of the full energy spectrum, including both real a…

eFlesh: Highly customizable Magnetic Touch Sensing using Cut-Cell Microstructures
Venkatesh Pattabiraman, Zizhou Huang, Daniele Panozzo, Denis Zorin, Lerrel Pinto, Raunaq Bhirangi
https://arxiv.org/abs/2506.09994

eFlesh: Highly customizable Magnetic Touch Sensing using Cut-Cell Microstructures
If human experience is any guide, operating effectively in unstructured environments -- like homes and offices -- requires robots to sense the forces during physical interaction. Yet, the lack of a versatile, accessible, and easily customizable tactile sensor has led to fragmented, sensor-specific solutions in robotic manipulation -- and in many cases, to force-unaware, sensorless approaches. With eFlesh, we bridge this gap by introducing a magnetic tactile sensor that is low-cost, easy to fabr…

You May Use the Same Channel Knowledge Map for Environment-Aware NLoS Sensing and Communication
Di Wu, Zhuoyin Dai, Yong Zeng
https://arxiv.org/abs/2507.03589

You May Use the Same Channel Knowledge Map for Environment-Aware NLoS Sensing and Communication
As one of the key usage scenarios for the sixth generation (6G) wireless networks, integrated sensing and communication (ISAC) provides an efficient framework to achieve simultaneous wireless sensing and communication. However, traditional wireless sensing techniques mainly rely on the line-of-sight (LoS) assumptions, i.e., the sensing targets are directly visible to both the sensing transmitter and receiver. This hinders ISAC systems to be applied in complex environments such as the urban low-…

Organic Electronic Classifiers for Sensing
S\'ebastien Pecqueur
https://arxiv.org/abs/2507.06660 https://arxiv.org/pdf/2507.06660…

Organic Electronic Classifiers for Sensing
This monograph describes nine years of research carried out at the Institute for Electronics, Micro-electronics and Nanotechnologies (IEMN), developed around defining a generic concept for detection, filling a void between metrological sensors and biological senses, sensing an environment's qualities along with their measurable properties in information generation technologies. The first chapter introduces fundamental notions of recognition for complex environments, such as for their chemistry,…

Dynamic Frequency Feature Fusion Network for Multi-Source Remote Sensing Data Classification
Yikang Zhao, Feng Gao, Xuepeng Jin, Junyu Dong, Qian Du
https://arxiv.org/abs/2507.04510

Dynamic Frequency Feature Fusion Network for Multi-Source Remote Sensing Data Classification
Multi-source data classification is a critical yet challenging task for remote sensing image interpretation. Existing methods lack adaptability to diverse land cover types when modeling frequency domain features. To this end, we propose a Dynamic Frequency Feature Fusion Network (DFFNet) for hyperspectral image (HSI) and Synthetic Aperture Radar (SAR) / Light Detection and Ranging (LiDAR) data joint classification. Specifically, we design a dynamic filter block to dynamically learn the filter k…

Force sensing with a graphene nanomechanical resonator coupled to photonic crystal guided resonances
Heng Lu, Tingting Li, Hui Hu, Fengnan Chen, Ti Sun, Ying Yan, Chinhua Wang, Joel Moser
https://arxiv.org/abs/2507.06755

Force sensing with a graphene nanomechanical resonator coupled to photonic crystal guided resonances
Achieving optimal force sensitivity with nanomechanical resonators requires the ability to resolve their thermal vibrations. In two-dimensional resonators, this can be done by measuring the energy they absorb while vibrating in an optical standing wave formed between a light source and a mirror. However, the responsivity of this method -- the change in optical energy per unit displacement of the resonator -- is modest, fundamentally limited by the physics of propagating plane waves. We present …

This https://arxiv.org/abs/2505.19111 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Remote Sensing Image Classification with Decoupled Knowledge Distillation
To address the challenges posed by the large number of parameters in existing remote sensing image classification models, which hinder deployment on resource-constrained devices, this paper proposes a lightweight classification method based on knowledge distillation. Specifically, G-GhostNet is adopted as the backbone network, leveraging feature reuse to reduce redundant parameters and significantly improve inference efficiency. In addition, a decoupled knowledge distillation strategy is employ…

Optimizing Scalable Multi-Cluster Architectures for Next-Generation Wireless Sensing and Communication
Samuel Riedel, Yichao Zhang, Marco Bertuletti, Luca Benini
https://arxiv.org/abs/2507.05012

Optimizing Scalable Multi-Cluster Architectures for Next-Generation Wireless Sensing and Communication
Next-generation wireless technologies (for immersive-massive communication, joint communication and sensing) demand highly parallel architectures for massive data processing. A common architectural template scales up by grouping tens to hundreds of cores into shared-memory clusters, which are then scaled out as multi-cluster manycore systems. This hierarchical design, used in GPUs and accelerators, requires a balancing act between fewer large clusters and more smaller clusters, affecting design…

This https://arxiv.org/abs/2501.03597 has been replaced.
initial toot: https://mastoxiv.page/@arX…

An Analytical Model of Sorption-Induced Static Mode Nanomechanical Sensing for Multi-Component Analytes
Nanomechanical sensors and their arrays have attracted significant attention for detecting, distinguishing, and identifying target analytes, especially complex mixtures of odors. In the static mode operation, sensing signals are obtained by a concen-tration-dependent sorption-induced mechanical strain/stress. Understanding of the dynamic responses is crucial for develop-ing practical artificial olfaction; however, the analytical formulations are still limited to single-component analytes. Here,…

Millikelvin-precision temperature sensing for advanced cryogenic detectors
Maria Antonova, Jordi Cap\'o, Anselmo Cervera, Pablo Fern\'andez, Miguel \'A. Garc\'ia-Peris, Xavier Pons
https://arxiv.org/abs/2506.06022

Millikelvin-precision temperature sensing for advanced cryogenic detectors
Precise temperature monitoring -- to the level of a few milli-Kelvin -- is essential for the operation of large-scale cryostats requiring a recirculation system. In particular, the performance of Liquid Argon Time Projection Chambers -- such as those planned for the DUNE experiment -- strongly relies on proper argon purification and mixing, which can be characterized by a sufficiently dense grid of high-precision temperature probes. In this article, we present a novel technique for the cross-ca…

This https://arxiv.org/abs/2404.19431 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Toward Practical and Theoretical Integration of Sensing and Communication in URA Systems
This work addresses the problem of integrated sensing and communications (ISAC) involving a massive number of unsourced and uncoordinated users. In the proposed model, known as the unsourced ISAC system (UNISAC), all active communication and sensing users simultaneously share a short frame to transmit their signals without requiring scheduling by the base station or the need to announce their identities. Consequently, the received signal from each user is heavily affected by interference from n…

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery
Zhenyu Yu, Mohd. Yamani Idna Idris, Pei Wang, Yuelong Xia, Fei Ma, Rizwan Qureshi
https://arxiv.org/abs/2506.06176

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery
We propose SatelliteFormula, a novel symbolic regression framework that derives physically interpretable expressions directly from multi-spectral remote sensing imagery. Unlike traditional empirical indices or black-box learning models, SatelliteFormula combines a Vision Transformer-based encoder for spatial-spectral feature extraction with physics-guided constraints to ensure consistency and interpretability. Existing symbolic regression methods struggle with the high-dimensional complexity of…

Tilt-Induced Localization in Interacting Bose-Einstein Condensates for Quantum Sensing
Argha Debnath, Mariusz Gajda, Debraj Rakshit
https://arxiv.org/abs/2506.06173

Tilt-Induced Localization in Interacting Bose-Einstein Condensates for Quantum Sensing
We investigate localization transitions in interacting Bose-Einstein condensates (BECs) confined in tilted optical lattices, focusing on both the continuum limit accessed via shallow lattice depths and the tight-binding limit realized in the deep lattice regime. Utilizing the Gross-Pitaevskii equation (GPE) and the many-body Bose-Hubbard model, we analyze the scaling behavior of localization indicators, such as the root mean square width and fidelity susceptibility, as a function of the applied…

ARGOS: Anomaly Recognition and Guarding through O-RAN Sensing
Stavros Dimou, Guevara Noubir
https://arxiv.org/abs/2506.06916 https://…

ARGOS: Anomaly Recognition and Guarding through O-RAN Sensing
Rogue Base Station (RBS) attacks, particularly those exploiting downgrade vulnerabilities, remain a persistent threat as 5G Standalone (SA) deployments are still limited and User Equipment (UE) manufacturers continue to support legacy network connectivity. This work introduces ARGOS, a comprehensive O-RAN compliant Intrusion Detection System (IDS) deployed within the Near Real-Time RIC, designed to detect RBS downgrade attacks in real time, an area previously unexplored within the O-RAN context…

Quantum phase sensing with states out of thermal equilibrium
Benjamin Yadin
https://arxiv.org/abs/2507.06030 https://arxiv.org/pdf/25…

Quantum phase sensing with states out of thermal equilibrium
Interferometry can be viewed generally as the measurement of a relative phase between two subsystems. I consider the problem of interfering a quantum resource state with a thermal bath, drawing a precise connection between the athermality of the resource and the resulting phase sensitivity. This is done by finding the fundamental sensing precision limit under the minimal conditions of global unitarity and energy conservation. The results here apply both to general finite-dimensional systems and…

Mid-IR hyperspectral imaging with undetected photons
Marlon Placke, Chiara Lindner, Felix Mann, Inna Kviatkovsky, Helen M. Chrzanowski, Hendrik Bartolomaeus, Frank K\"uhnemann, Sven Ramelow
https://arxiv.org/abs/2507.07861

Mid-IR hyperspectral imaging with undetected photons
Sensing with undetected photons has become a vibrant, application-driven research domain with a special focus on the mid-infrared (mid-IR) wavelength region. Since the mid-IR contains spectral bands with highly specific and strong molecular absorbance signatures, often referred to as fingerprints, a multitude of different samples and their compositions can be detected and quantified spectroscopically. Enhancing this inherently sample alteration-free spectroscopic method with imaging capabilitie…

Event2Audio: Event-Based Optical Vibration Sensing
Mingxuan Cai, Dekel Galor, Amit Pal Singh Kohli, Jacob L. Yates, Laura Waller
https://arxiv.org/abs/2507.03273

Event2Audio: Event-Based Optical Vibration Sensing
Small vibrations observed in video can unveil information beyond what is visual, such as sound and material properties. It is possible to passively record these vibrations when they are visually perceptible, or actively amplify their visual contribution with a laser beam when they are not perceptible. In this paper, we improve upon the active sensing approach by leveraging event-based cameras, which are designed to efficiently capture fast motion. We demonstrate our method experimentally by rec…

Toward Low-Altitude Airspace Management and UAV Operations: Requirements, Architecture and Enabling Technologies
Guiyang Luo, Jinglin Li, Qixun Zhang, Zhiyong Feng, Quan Yuan, Yijing Lin, Hui Zhang, Nan Cheng, Ping Zhang
https://arxiv.org/abs/2506.08579

Toward Low-Altitude Airspace Management and UAV Operations: Requirements, Architecture and Enabling Technologies
The low-altitude economy (LAE) is rapidly advancing toward intelligence, connectivity, and coordination, bringing new challenges in dynamic airspace management, unmanned aerial vehicle (UAV) operation, and security management. Existing systems remain fragmented and lack effective coordination. To bridge these gaps, we propose UTICN (Ubiquitous and Trusted Intelligent Cellular-native Network) for LAE, a unified cellular-native architecture that integrates multi-domain sensing, high-precision pos…

TigAug: Data Augmentation for Testing Traffic Light Detection in Autonomous Driving Systems
You Lu, Dingji Wang, Kaifeng Huang, Bihuan Chen, Xin Peng
https://arxiv.org/abs/2507.05932

TigAug: Data Augmentation for Testing Traffic Light Detection in Autonomous Driving Systems
Autonomous vehicle technology has been developed in the last decades with recent advances in sensing and computing technology. There is an urgent need to ensure the reliability and robustness of autonomous driving systems (ADSs). Despite the recent achievements in testing various ADS modules, little attention has been paid on the automated testing of traffic light detection models in ADSs. A common practice is to manually collect and label traffic light data. However, it is labor-intensive, and…

Self-supervised learning predicts plant growth trajectories from multi-modal industrial greenhouse data
Adam J Riesselman, Evan M Cofer, Therese LaRue, Wim Meeussen
https://arxiv.org/abs/2507.06336

Self-supervised learning predicts plant growth trajectories from multi-modal industrial greenhouse data
Quantifying organism-level phenotypes, such as growth dynamics and biomass accumulation, is fundamental to understanding agronomic traits and optimizing crop production. However, quality growing data of plants at scale is difficult to generate. Here we use a mobile robotic platform to capture high-resolution environmental sensing and phenotyping measurements of a large-scale hydroponic leafy greens system. We describe a self-supervised modeling approach to build a map from observed growing data…

Deep Learning-based Human Gesture Channel Modeling for Integrated Sensing and Communication Scenarios
Zhengyu Zhang, Neeraj Varshney, Jelena Senic, Raied Caromi, Samuel Berweger, Camillo Gentile, Enrico M. Vitucci, Ruisi He, Vittorio Degli-Esposti
https://arxiv.org/abs/2507.06588

Deep Learning-based Human Gesture Channel Modeling for Integrated Sensing and Communication Scenarios
With the development of Integrated Sensing and Communication (ISAC) for Sixth-Generation (6G) wireless systems, contactless human recognition has emerged as one of the key application scenarios. Since human gesture motion induces subtle and random variations in wireless multipath propagation, how to accurately model human gesture channels has become a crucial issue for the design and validation of ISAC systems. To this end, this paper proposes a deep learning-based human gesture channel modelin…

Frequency as a Clock: Synchronization and Intrinsic Recovery in Graphene Transistor Dynamics
Victor Lopez-Richard, Igor Ricardo Filgueira e Silva, Gabriel L. Rodrigues, Kenji Watanabe, Takashi Taniguchi, Alisson R. Cadore
https://arxiv.org/abs/2506.08728

Frequency as a Clock: Synchronization and Intrinsic Recovery in Graphene Transistor Dynamics
Hysteresis and memory effects in graphene field-effect transistors (GFETs) offer unique opportunities for neuromorphic computing, sensing, and memory applications, yet their physical origins remain debated due to competing volatile and nonvolatile interpretations. Here, we present a unified dynamic model that captures the essential physics of the GFET response under periodic gate modulation, accounting for both intrinsic relaxation processes and externally driven charge transfer. By modeling no…

This https://arxiv.org/abs/2408.15323 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Review: Quantum Metrology and Sensing with Many-Body Systems
The main power of quantum sensors is achieved when the probe is composed of several particles. In this situation, quantum features such as entanglement contribute to enhancing the precision of quantum sensors beyond the capacity of classical sensors. Originally, quantum sensing was formulated for non-interacting particles that are prepared in a special form of maximally entangled states. These probes are extremely sensitive to decoherence, and any interaction between particles is detrimental to…

Aucamp: An Underwater Camera-Based Multi-Robot Platform with Low-Cost, Distributed, and Robust Localization
Jisheng Xu, Ding Lin, Pangkit Fong, Chongrong Fang, Xiaoming Duan, Jianping He
https://arxiv.org/abs/2506.09876

Aucamp: An Underwater Camera-Based Multi-Robot Platform with Low-Cost, Distributed, and Robust Localization
This paper introduces an underwater multi-robot platform, named Aucamp, characterized by cost-effective monocular-camera-based sensing, distributed protocol and robust orientation control for localization. We utilize the clarity feature to measure the distance, present the monocular imaging model, and estimate the position of the target object. We achieve global positioning in our platform by designing a distributed update protocol. The distributed algorithm enables the perception process to si…

Energy Transfer and Data Collection from Batteryless Sensors in Low-altitude Wireless Networks
Wen Zhang, Aimin Wang, Jiahui Li, Geng Sun, Jiacheng Wang, Weijie Yuan, Dusit Niyato
https://arxiv.org/abs/2507.07481

Energy Transfer and Data Collection from Batteryless Sensors in Low-altitude Wireless Networks
The integration of wireless power transfer (WPT) with Internet of Things (IoT) offers promising solutions for sensing applications, but faces significant challenges when deployed in hard-to-access areas such as high-temperature environments. In such extreme conditions, traditional fixed WPT infrastructure cannot be safely installed, and batteries rapidly degrade due to hardware failures. In this paper, we propose an uncrewed aerial vehicle (UAV)-assisted data collection and WPT framework for ba…

This https://arxiv.org/abs/2506.05720 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

A Survey of Earable Technology: Trends, Tools, and the Road Ahead
Earable devices, wearables positioned in or around the ear, are undergoing a rapid transformation from audio-centric accessories into multifunctional systems for interaction, contextual awareness, and health monitoring. This evolution is driven by commercial trends emphasizing sensor integration and by a surge of academic interest exploring novel sensing capabilities. Building on the foundation established by earlier surveys, this work presents a timely and comprehensive review of earable resea…

Faster-than-Nyquist Signaling is Good for Single-Carrier ISAC: An Analytical Study
Shuangyang Li, Fan Liu, Yifeng Xiong, Weijie Yuan, Baoming Bai, Christos Masouros, Giuseppe Caire
https://arxiv.org/abs/2506.09931

Faster-than-Nyquist Signaling is Good for Single-Carrier ISAC: An Analytical Study
In this paper, we provide an analytical study of single-carrier faster-than-Nyquist (FTN) signaling for integrated sensing and communications (ISAC). Our derivations show that FTN is advantageous for ISAC, and reveal new insights that these advantages come from the fact that FTN signaling can effectively avoid the spectral aliasing due to the mismatch between the symbol rate and the bandwidth of the shaping pulse. Specifically, the communication spectral efficiency advantages of FTN signaling o…

Robust Spin Polarization by Adiabatic Dynamical Decoupling
Soham Pal, Oliver T. Whaites, Wolfgang Knolle, Tania S. Monteiro, Helena S. Knowles
https://arxiv.org/abs/2506.08571

Robust Spin Polarization by Adiabatic Dynamical Decoupling
High-fidelity multi-qubit initialization is vital for quantum simulation, quantum information processing (QIP), and quantum sensing. In diamond platforms, nuclear spin registers can be initialized through polarization transfer from a nearby electronic spin whose high gyromagnetic ratio enables efficient dynamical nuclear polarization (DNP). These hybrid systems are typically controlled using diabatic spin rotations, which require precise knowledge of all system parameters. Adiabatic DNP protoco…

Visible Brillouin-quadratic microlaser in a high-Q thin-film lithium niobate microdisk
Xiaochao Luo, Chuntao Li, Xingzhao Huang, Jintian Lin, Renhong Gao, Yifei Yao, Yingnuo Qiu, Yixuan Yang, Lei Wang, Huakang Yu, Ya Cheng
https://arxiv.org/abs/2506.08615

Visible Brillouin-quadratic microlaser in a high-Q thin-film lithium niobate microdisk
Narrow-linewidth lasers at short/visible wavelengths are crucial for quantum and atomic applications, such as atomic clocks, quantum computing, atomic and molecular spectroscopy, and quantum sensing. However, such lasers are often only accessible in bulky tabletop systems and remain scarce in integrated photonic platform. Here, we report an on-chip visible Brillouin-quadratic microlaser in a 117-um-diameter thin-film lithium niobate (TFLN) microdisk via dispersion engineering. Enabled by the ul…

Nanoparticles and Quantum Dots as Emerging Optical Sensing Platforms for $\mathrm{Ni}^{2 }$ Detection: Recent Approaches and Perspectives
Sudhanshu Naithani, Heena, Pooja Sharma, Samar Layek, Franck Thetiot, Tapas Goswami, Sushil Kumar
https://arxiv.org/abs/2507.04944

Nanoparticles and Quantum Dots as Emerging Optical Sensing Platforms for $\mathrm{Ni}^{2+}$ Detection: Recent Approaches and Perspectives
Over the preceding years, nickel (Ni) and its compounds have been increasingly employed in various aspects of human social life, metallurgical/industrial manufactures, healthcare, and chemical processes. Although Ni is considered an essential trace element in biological systems, excessive intake or metabolic deficiency of \(\mathrm{Ni}^{2+}\) ions may cause detrimental health effects to living organisms. Therefore, a facile and accurate detection of \(\mathrm{Ni}^{2+}\), especially in environme…

Attention-based Learning for 3D Informative Path Planning
Rui Zhao, Xingjian Zhang, Yuhong Cao, Yizhuo Wang, Guillaume Sartoretti
https://arxiv.org/abs/2506.08434

Attention-based Learning for 3D Informative Path Planning
In this work, we propose an attention-based deep reinforcement learning approach to address the adaptive informative path planning (IPP) problem in 3D space, where an aerial robot equipped with a downward-facing sensor must dynamically adjust its 3D position to balance sensing footprint and accuracy, and finally obtain a high-quality belief of an underlying field of interest over a given domain (e.g., presence of specific plants, hazardous gas, geological structures, etc.). In adaptive IPP task…

Ultrafast interband transitions in nanoporous gold metamaterial
Tlek Tapani, Jonas M. Pettersson, Nils Henriksson, Erik Z\"all, Nils V. Hauff, Lakshmi Das, Gianluca Balestra, Massimo Cuscun\`a, Aitor De Andr\'es, Tommaso Giovannini, Denis Garoli, Nicol\`o Maccaferri
https://arxiv.org/abs/2506.08536

Ultrafast interband transitions in nanoporous gold metamaterial
Nanoporous metals have emerged as promising functional architectures due to their tunable optical and electronic properties, high surface areas, and versatile use in real-life applications such as sensing, catalysis, and biomedicine. While the optical and morphological properties of nanoporous metals have been extensively studied, their electronic properties at ultrafast timescales remain largely unexplored. Here, we study the transient response of a nanoporous gold metamaterial and compare it …

Passive Detection in Multi-Static ISAC Systems: Performance Analysis and Joint Beamforming Optimization
Renjie He, Yiqiu Wang, Meixia Tao, Shu Sun
https://arxiv.org/abs/2506.07019

Passive Detection in Multi-Static ISAC Systems: Performance Analysis and Joint Beamforming Optimization
This paper investigates the passive detection problem in multi-static integrated sensing and communication (ISAC) systems, where multiple sensing receivers (SRs) jointly detect a target using random unknown communication signals transmitted by a collaborative base station. Unlike traditional active detection, the considered passive detection does not require complete prior knowledge of the transmitted communication signals at each SR. First, we derive a generalized likelihood ratio test detecto…

Beating joint quantum estimation limits with stepwise multiparameter metrology
Chiranjib Mukhopadhyay, Abolfazl Bayat, Victor Montenegro, Matteo G. A. Paris
https://arxiv.org/abs/2506.06075

Beating joint quantum estimation limits with stepwise multiparameter metrology
Conventional multiparameter quantum sensing relies on joint estimation, but this approach faces two key limitations: theoretical bounds may be unattainable due to measurement incompatibility, and sensing may fail due to parameter interdependencies. We propose stepwise estimation and identify regimes where it outperforms joint estimation. For multiple quantum sensors, this scheme achieves far lower error bounds than joint estimation. With many-body probes, stepwise sensing retains a quantum-enha…

Target Sensing Performance in Disaster-Specific ISAC Networks
Ahmet Burak Ozyurt, John S. Thompson
https://arxiv.org/abs/2506.02828 https://

Target Sensing Performance in Disaster-Specific ISAC Networks
As sixth-generation (6G) wireless technology emerges, integrated sensing and communication (ISAC) networks offer significant potential for enhancing real-time monitoring in disaster areas. However, existing ISAC approaches often fail to address the unique challenges of dynamic and cluttered disaster areas, resulting in limited sensing coverage and interruptions in sensing service. To address these limitations, this work proposes a mobile ISAC network specifically designed for disaster scenarios…

Simultaneous Localization and Mapping Using Active mmWave Sensing in 5G NR
Tao Du, Jie Yang, Fan Liu, Jiaxiang Guo, Shuqiang Xia, Chao-Kai Wen, Shi Jin
https://arxiv.org/abs/2507.04662

Simultaneous Localization and Mapping Using Active mmWave Sensing in 5G NR
Millimeter-wave (mmWave) 5G New Radio (NR) communication systems, with their high-resolution antenna arrays and extensive bandwidth, offer a transformative opportunity for high-throughput data transmission and advanced environmental sensing. Although passive sensing-based SLAM techniques can estimate user locations and environmental reflections simultaneously, their effectiveness is often constrained by assumptions of specular reflections and oversimplified map representations. To overcome thes…

Antibody Consumption-Driven Dynamic Competition: A Systems Hypothesis for the Transition from Acute Immune Response to Post-Infection Sequelae
Shi Qiru
https://arxiv.org/abs/2506.06413

Antibody Consumption-Driven Dynamic Competition: A Systems Hypothesis for the Transition from Acute Immune Response to Post-Infection Sequelae
The mechanisms underlying the formation of post-infection sequelae are complex and remain controversial. This hypothesis integrates Bystryn's antibody feedback phenomenon and Imbiakha's immune cost theory, proposing for the first time a "Consumption-Driven Dynamic Competition of Antibody Clones" mechanism. This mechanism posits that the immune system may regulate the proliferation and differentiation of corresponding B cell clones by sensing and responding to the consumption rate of specific an…

TensorTouch: Calibration of Tactile Sensors for High Resolution Stress Tensor and Deformation for Dexterous Manipulation
Won Kyung Do, Matthew Strong, Aiden Swann, Boshu Lei, Monroe Kennedy III
https://arxiv.org/abs/2506.08291

TensorTouch: Calibration of Tactile Sensors for High Resolution Stress Tensor and Deformation for Dexterous Manipulation
Advanced dexterous manipulation involving multiple simultaneous contacts across different surfaces, like pinching coins from ground or manipulating intertwined objects, remains challenging for robotic systems. Such tasks exceed the capabilities of vision and proprioception alone, requiring high-resolution tactile sensing with calibrated physical metrics. Raw optical tactile sensor images, while information-rich, lack interpretability and cross-sensor transferability, limiting their real-world u…

Brillouin-Mandelstam scattering in telecommunications optical fiber at millikelvin temperatures
E. A. Cryer-Jenkins, A. C. Leung, H. Rathee, A. K. C. Tan, K. D. Major, M. R. Vanner
https://arxiv.org/abs/2506.09654

Brillouin-Mandelstam scattering in telecommunications optical fiber at millikelvin temperatures
Brillouin-Mandelstam scattering is a strong and readily accessible optical nonlinearity enabling a wide array of applications and research directions. For instance, the three-wave mixing process has been employed to great success for narrow-linewidth lasers, sensing applications, microscopy, and signal processing. While most of these avenues focus on room temperature operation, there is now increasing interest in cryogenic operation owing to the scattering mechanism's significant potential for …

SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models
Lala Shakti Swarup Ray, Mengxi Liu, Deepika Gurung, Bo Zhou, Sungho Suh, Paul Lukowicz
https://arxiv.org/abs/2507.06405

SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models
Human Activity Recognition (HAR) with wearable sensors is essential for applications in healthcare, fitness, and human-computer interaction. Bio-impedance sensing offers unique advantages for fine-grained motion capture but remains underutilized due to the scarcity of labeled data. We introduce SImpHAR, a novel framework addressing this limitation through two core contributions. First, we propose a simulation pipeline that generates realistic bio-impedance signals from 3D human meshes using sho…

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality
Chia-Hsiang Lin, Jui-Ting Chen, Zi-Chao Leng, Jhao-Ting Lin
https://arxiv.org/abs/2507.06575

COS2A: Conversion from Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral-Spatial Duality
The Sentinel-2 satellite, launched by the European Space Agency (ESA), offers extensive spatial coverage and has become indispensable in a wide range of remote sensing applications. However, it just has 12 spectral bands, making substances/objects identification less effective, not mentioning the varying spatial resolutions (10/20/60 m) across the 12 bands. If such a multi-resolution 12-band image can be computationally converted into a hyperspectral image with uniformly high resolution (i.e., …

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models
Haoyun Li, Ming Xiao, Kezhi Wang, Robert Schober, Dong In Kim, Yong Liang Guan
https://arxiv.org/abs/2506.05637

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models
Integrated sensing and communication (ISAC) has been envisioned to play a more important role in future wireless networks. However, the design of ISAC networks is challenging, especially when there are multiple communication and sensing (C\&S) nodes and multiple sensing targets. We investigate a multi-base station (BS) ISAC network in which multiple BSs equipped with multiple antennas simultaneously provide C\&S services for multiple ground communication users (CUs) and targets. To enhance the …

Beyond Robustness: Learning Unknown Dynamic Load Adaptation for Quadruped Locomotion on Rough Terrain
Leixin Chang, Yuxuan Nai, Hua Chen, Liangjing Yang
https://arxiv.org/abs/2507.07825

Beyond Robustness: Learning Unknown Dynamic Load Adaptation for Quadruped Locomotion on Rough Terrain
Unknown dynamic load carrying is one important practical application for quadruped robots. Such a problem is non-trivial, posing three major challenges in quadruped locomotion control. First, how to model or represent the dynamics of the load in a generic manner. Second, how to make the robot capture the dynamics without any external sensing. Third, how to enable the robot to interact with load handling the mutual effect and stabilizing the load. In this work, we propose a general load modeling…

Graph Learning for Cooperative Cell-Free ISAC Systems: From Optimization to Estimation
Peng Jiang, Ming Li, Rang Liu, Qian Liu
https://arxiv.org/abs/2507.06612

Graph Learning for Cooperative Cell-Free ISAC Systems: From Optimization to Estimation
Cell-free integrated sensing and communication (ISAC) systems have emerged as a promising paradigm for sixth-generation (6G) networks, enabling simultaneous high-rate data transmission and high-precision radar sensing through cooperative distributed access points (APs). Fully exploiting these capabilities requires a unified design that bridges system-level optimization with multi-target parameter estimation. This paper proposes an end-to-end graph learning approach to close this gap, modeling t…

This https://arxiv.org/abs/2504.09432 has been replaced.
initial toot: https://mastoxiv.page/@a…

Nanoscale Quantum Imaging of Spin Dynamics using a Hybrid 2D/3D System
Spin defects in solids offer promising platforms for quantum sensing and memory due to their long coherence times and compatibility with quantum networks. Here, we integrate a single nitrogen-vacancy (NV) center in diamond with scanning probe microscopy to discover, read out, and spatially map arbitrary spin-based quantum sensors at the nanoscale. Using the boron vacancy (V$_\mathrm{B}^-$) center in hexagonal boron nitride$\unicode{x2013}$an emerging two-dimensional spin system$\unicode{x2013}$…

Fluoroscopic Shape and Pose Tracking of Catheters with Custom Radiopaque Markers
Jared Lawson, Rohan Chitale, Nabil Simaan
https://arxiv.org/abs/2506.09934

Fluoroscopic Shape and Pose Tracking of Catheters with Custom Radiopaque Markers
Safe navigation of steerable and robotic catheters in the cerebral vasculature requires awareness of the catheters shape and pose. Currently, a significant perception burden is placed on interventionalists to mentally reconstruct and predict catheter motions from biplane fluoroscopy images. Efforts to track these catheters are limited to planar segmentation or bulky sensing instrumentation, which are incompatible with microcatheters used in neurointervention. In this work, a catheter is equippe…

Direct interferometric measurement of non-reciprocity induced by a plasmonic metasurface with false chirality
Ahmed Lafeef Ettapuram Naduvilepurayil, Harel Ginat, Fernando Loren, Luis Martin-Moreno, Shmuel Sternklar, Yuri Gorodetski
https://arxiv.org/abs/2506.08815

Direct interferometric measurement of non-reciprocity induced by a plasmonic metasurface with false chirality
Nonreciprocity is an important scientific concept related to the broken symmetry of light propagation through a system in forward and reverse directions. This effect lies in the origin of various applications including signal processing, noise reduction, unidirectional propagation and sensing. Here we show that propagation of Surface Plasmons (SP) within a structure having a false chirality exhibits a non-reciprocity. The SP waves propagating in opposite directions within the structure acquire …

This https://arxiv.org/abs/2201.03074 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Survey of Passive Sensing for Workplace Wellbeing and Productivity
The modern workplace is undergoing a radical transformation, driven by technological advances that blur the boundaries between human capability and digital augmentation. At the forefront of this evolution is passive sensing technology - a suite of tools that quietly monitor and interpret human behavior without active user engagement. This paper examines how these technologies are reshaping our understanding of workplace dynamics, with a particular focus on employee wellbeing and productivity. T…

RIS-assisted ISAC Systems for Industrial Revolution 6.0: Exploring the Near-field and Far-field Coexistence
Seonghoon Yoo, Jaemin Jung, Seongah Jeong, Jinkyu Kang, Markku Juntti, Joonhyuk Kang
https://arxiv.org/abs/2507.07643

RIS-assisted ISAC Systems for Industrial Revolution 6.0: Exploring the Near-field and Far-field Coexistence
The Industrial Internet of Things (IIoT) has emerged as a key technology for realizing the vision of Industry 6.0, requiring the seamless integration of diverse connected devices. In particular, integrated sensing and communication (ISAC) plays a critical role in supporting real-time control and automation within IIoT systems. In this paper, we explore reconfigurable intelligent surface (RIS)-assisted ISAC systems for IIoT in the coexistence of near-field and far-field regions. The system consi…

Force-IMU Fusion-Based Sensing Acupuncture Needle and Quantitative Analysis System for Acupuncture Manipulations
Peng Tian, Kang Yu, Tianyun Jiang, Yuqi Wang, Haiying Zhang, Hao Yang, Yunfeng Wang, Jun Zhang, Shuo Gao, Junhong Gao
https://arxiv.org/abs/2507.04821

Force-IMU Fusion-Based Sensing Acupuncture Needle and Quantitative Analysis System for Acupuncture Manipulations
Acupuncture, one of the key therapeutic methods in Traditional Chinese Medicine (TCM), has been widely adopted in various clinical fields. Quantitative research on acupuncture manipulation parameters is critical to achieve standardized techniques. However, quantitative mechanical detection of acupuncture parameters remains limited. This study establishes a kinematic and dynamic model of acupuncture, identifying key parameters such as lifting-thrusting force, acceleration, velocity, displacement…

Enhancing Noisy Quantum Sensing by GHZ State Partitioning
Allen Zang, Tian-Xing Zheng, Peter C. Maurer, Frederic T. Chong, Martin Suchara, Tian Zhong
https://arxiv.org/abs/2507.02829

Enhancing Noisy Quantum Sensing by GHZ State Partitioning
Presence of harmful noise is inevitable in entanglement-enhanced sensing systems, requiring careful allocation of resources to optimize sensing performance in practical scenarios. We advocate a simple but effective strategy to improve sensing performance in the presence of noise. Given a fixed number of quantum sensors, we partition the preparation of GHZ states by preparing smaller, independent sub-ensembles of GHZ states instead of a GHZ state across all sensors. We perform extensive analytic…

Fast and Provable Hankel Tensor Completion for Multi-measurement Spectral Compressed Sensing
Jinsheng Li, Xu Zhang, Shuang Wu, Wei Cui
https://arxiv.org/abs/2507.04847

Fast and Provable Hankel Tensor Completion for Multi-measurement Spectral Compressed Sensing
In this paper, we introduce a novel low-rank Hankel tensor completion approach to address the problem of multi-measurement spectral compressed sensing. By lifting the multiple signals to a Hankel tensor, we reformulate this problem into a low-rank Hankel tensor completion task, exploiting the spectral sparsity via the low multilinear rankness of the tensor. Furthermore, we design a scaled gradient descent algorithm for Hankel tensor completion (ScalHT), which integrates the low-rank Tucker deco…

Dynamic mapping from static labels: remote sensing dynamic sample generation with temporal-spectral embedding
Shuai Yuan, Shuang Chen, Tianwu Lin, Jie Wang, Peng Gong
https://arxiv.org/abs/2506.02574

Dynamic mapping from static labels: remote sensing dynamic sample generation with temporal-spectral embedding
Accurate remote sensing geographic mapping depends heavily on representative and timely sample data. However, rapid changes in land surface dynamics necessitate frequent updates, quickly rendering previously collected samples obsolete and imposing significant labor demands for continuous manual updates. In this study, we aim to address this problem by dynamic sample generation using existing single-date static labeled samples. We introduce TasGen, a two-stage automated framework to automaticall…

Programmable skyrmions for robust communication and intelligent sensing
Long Chen, Yijie Shen, Xin Yu Li, Ze Gu, Jian Lin Su, Qiang Xiao, Si Qi Huang, Shi Long Qin, Qian Ma, Jian Wei You, Tie Jun Cui
https://arxiv.org/abs/2507.05944

Programmable skyrmions for robust communication and intelligent sensing
The recently observed plasmonic skyrmions, as electromagnetic counterparts of topologically stable quasiparticles, hold significant promise as novel carriers for robust information transfer and manipulation of nontrivial light-matter interactions. However, their practical applications has been hindered by the lack of flexible tuning devices to encode these topological structures. Here, we present a programmable plasmonic skyrmion platform capable of coding diverse skyrmion topologies, including…

UAV-Based Remote Sensing of Soil Moisture Across Diverse Land Covers: Validation and Bayesian Uncertainty Characterization
Runze Zhang, Ishfaq Aziz, Derek Houtz, Yuxiang Zhao, Trent W. Ford, Adam C. Watts, Mohamad Alipour
https://arxiv.org/abs/2506.05572

UAV-Based Remote Sensing of Soil Moisture Across Diverse Land Covers: Validation and Bayesian Uncertainty Characterization
High-resolution soil moisture (SM) observations are critical for agricultural monitoring, forestry management, and hazard prediction, yet current satellite passive microwave missions cannot directly provide retrievals at tens-of-meter spatial scales. Unmanned aerial vehicle (UAV) mounted microwave radiometry presents a promising alternative, but most evaluations to date have focused on agricultural settings, with limited exploration across other land covers and few efforts to quantify retrieval…

Experience-Centric Resource Management in ISAC Networks: A Digital Agent-Assisted Approach
Xinyu Huang, Yixiao Zhang, Yingying Pei, Jianzhe Xue, Xuemin Shen
https://arxiv.org/abs/2507.06436

Experience-Centric Resource Management in ISAC Networks: A Digital Agent-Assisted Approach
In this paper, we propose a digital agent (DA)-assisted resource management scheme for enhanced user quality of experience (QoE) in integrated sensing and communication (ISAC) networks. Particularly, user QoE is a comprehensive metric that integrates quality of service (QoS), user behavioral dynamics, and environmental complexity. The novel DA module includes a user status prediction model, a QoS factor selection model, and a QoE fitting model, which analyzes historical user status data to cons…

Cooperative Mapping, Localization, and Beam Management via Multi-Modal SLAM in ISAC Systems
Hang Que, Jie Yang, Tao Du, Shuqiang Xia, Chao-Kai Wen, Shi Jin
https://arxiv.org/abs/2507.05718

Cooperative Mapping, Localization, and Beam Management via Multi-Modal SLAM in ISAC Systems
Simultaneous localization and mapping (SLAM) plays a critical role in integrated sensing and communication (ISAC) systems for sixth-generation (6G) millimeter-wave (mmWave) networks, enabling environmental awareness and precise user equipment (UE) positioning. While cooperative multi-user SLAM has demonstrated potential in leveraging distributed sensing, its application within multi-modal ISAC systems remains limited, particularly in terms of theoretical modeling and communication-layer integra…

Detection and manipulation of surface electric field noise of hexagonal boron nitride
Hao-Jie Zhou, Xiao-Wen Shen, Yu Zhou, Lei Dong, Pei-Qin Chen, Xia Chen, Guang-Wei Deng, Gang Xiang, Pei-Jie Guo, Tian-Ke Wang, Hong-Peng Wu, Jun-Feng Wang
https://arxiv.org/abs/2506.07734

Detection and manipulation of surface electric field noise of hexagonal boron nitride
Hexagonal boron nitride (hBN) spin defects off er transformative potential for quantum sensing through atomic-scale proximity to target samples, yet their performance is fundamentally limited by rapid coherence loss. While magnetic noise mechanisms have been extensively studied, another critical infl uence from surface electric fi eld noise remains unexplored in hBN systems. Here,we address this challenge and systematically investigate surface electric fi eld noise in hBN using shallow boron va…

Near-Field ISAC for THz Wireless Systems
Fan Zhang, Tianqi Mao, Mingkun Li, Meng Hua, Jinshu Chen, Christos Masouros, Zhaocheng Wang
https://arxiv.org/abs/2507.04292

Near-Field ISAC for THz Wireless Systems
Sixth-generation (6G) wireless networks are expected not only to provide high-speed connectivity but also to support reliable sensing capabilities, giving rise to the integrated sensing and communication (ISAC) paradigm. To enable higher data rates and more accurate sensing, terahertz (THz) systems empowered by extremely large multiple-input-multiple-output (XL-MIMO) technology are envisioned as key enablers for future ISAC systems. Owing to the substantial increase in both effective array aper…

Piggyback Camera: Easy-to-Deploy Visual Surveillance by Mobile Sensing on Commercial Robot Vacuums
Ryo Yonetani
https://arxiv.org/abs/2507.04910 https://…

Piggyback Camera: Easy-to-Deploy Visual Surveillance by Mobile Sensing on Commercial Robot Vacuums
This paper presents Piggyback Camera, an easy-to-deploy system for visual surveillance using commercial robot vacuums. Rather than requiring access to internal robot systems, our approach mounts a smartphone equipped with a camera and Inertial Measurement Unit (IMU) on the robot, making it applicable to any commercial robot without hardware modifications. The system estimates robot poses through neural inertial navigation and efficiently captures images at regular spatial intervals throughout t…

Cooperative Sensing in Cell-free Massive MIMO ISAC Systems: Performance Optimization and Signal Processing
Haotian Liu, Zhiqing Wei, Luyang Sun, Ruizhong Xu, Yixin Zhang, Zhiyong Feng
https://arxiv.org/abs/2506.23473

Cooperative Sensing in Cell-free Massive MIMO ISAC Systems: Performance Optimization and Signal Processing
Integrated sensing and communication (ISAC), as a technology enabled seamless connection between communication and sensing, is regarded a core enabling technology for these applications. However, the accuracy of single-node sensing in ISAC system is limited, prompting the emergence of multi-node cooperative sensing. In multi-node cooperative sensing, the synchronization error limits the sensing accuracy, which can be mitigated by the architecture of cell-free massive multi-input multi-output (C…

This https://arxiv.org/abs/2502.09180 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

A Machine Learning Approach to Sensor Substitution from Tactile Sensing to Visual Perception for Non-Prehensile Manipulation
Mobile manipulators are increasingly deployed in complex environments, requiring diverse sensors to perceive and interact with their surroundings. However, equipping every robot with every possible sensor is often impractical due to cost and physical constraints. A critical challenge arises when robots with differing sensor capabilities need to collaborate or perform similar tasks. For example, consider a scenario where a mobile manipulator equipped with high-resolution tactile skin is skilled …

Communication via Sensing
Mohammad Kazemi, Tolga M. Duman, Deniz G\"und\"uz
https://arxiv.org/abs/2506.23000 https://arxiv.…

Communication via Sensing
We present an alternative take on the recently popularized concept of `$\textit{joint sensing and communications}$', which focuses on using communication resources also for sensing. Here, we propose the opposite, where we exploit the sensing capabilities of the receiver for communication. Our goal is to characterize the fundamental limits of communication over such a channel, which we call `$\textit{communication via sensing}$'. We assume that changes in the sensed attributes, e.g., location, s…

SDR-Empowered Environment Sensing Design and Experimental Validation Using OTFS-ISAC Signals
Jun Wu, Yuye Shi, Weijie Yuan, Qingqing Cheng, Buyi Li, Xinyuan Wei
https://arxiv.org/abs/2507.01427

SDR-Empowered Environment Sensing Design and Experimental Validation Using OTFS-ISAC Signals
This paper investigates the system design and experimental validation of integrated sensing and communication (ISAC) for environmental sensing, which is expected to be a critical enabler for next-generation wireless networks. We advocate exploiting orthogonal time frequency space (OTFS) modulation for its inherent sparsity and stability in delay-Doppler (DD) domain channels, facilitating a low-overhead environment sensing design. Moreover, a comprehensive environmental sensing framework is deve…

Advanced microwave photonic waveform editing: enabling the evolution of radar systems into joint radar and spectrum sensing systems
Chi Jiang, Taixia Shi, Dingding Liang, Lei Gao, Chulun Lin, Yang Chen
https://arxiv.org/abs/2506.02583

Advanced microwave photonic waveform editing: enabling the evolution of radar systems into joint radar and spectrum sensing systems
In response to the urgent demand for the development of future radar application platforms from single radar functionality towards integrated multi-functional systems, we show an advanced microwave photonic waveform editing method that enables the editing of arbitrary radar waveforms, equipping them with the capability to perform spectrum sensing. This, in turn, expands single-function radar systems into joint radar and spectrum sensing systems. We theoretically define and calculate the accumul…

Hybrid Beamforming Optimization for MIMO ISAC Exploiting Prior Information: A PCRB-based Approach
Yizhuo Wang, Shuowen Zhang
https://arxiv.org/abs/2506.07869

Hybrid Beamforming Optimization for MIMO ISAC Exploiting Prior Information: A PCRB-based Approach
This paper considers a multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system, where a multi-antenna base station (BS) with transceiver hybrid analog-digital arrays transmits dual-functional signals to communicate with a multi-antenna user and simultaneously sense the unknown and random location information of a target based on the reflected echo signals and the prior distribution information on the target's location. Under transceiver hybrid arrays, we charact…

On-chip magnon polaritons in the ultrastrong coupling regime
Shugo Yoshii, Manuel M\"uller, Ryo Ohshima, Matthias Althammer, Yuichiro Ando, Hans Huebl, Masashi Shiraishi
https://arxiv.org/abs/2507.06065

On-chip magnon polaritons in the ultrastrong coupling regime
Light-matter interactions underpin the quantum technologies from quantum information processing to quantum sensing. When the coupling strength of light-matter interactions approaches the resonance frequencies of light and matter - the ultrastrong coupling regime - antiresonant (counter-rotating) processes, in which a photon and a matter excitation are simultaneously created or annihilated, induce non-negligible ground-state quantum entanglement between light and matter. Ultrastrong coupling thu…

The Coupling Effect of Sensing Targets on the Environment for 3GPP ISAC Channels: Observation, Modeling, and Validation
Yameng Liu, Jianhua Zhang, Yuxiang Zhang, Hongbo Xing, Yifeng Xiong, Zhiqiang Yuan, Guangyi Liu
https://arxiv.org/abs/2506.00480

The Coupling Effect of Sensing Targets on the Environment for 3GPP ISAC Channels: Observation, Modeling, and Validation
Integrated Sensing And Communication (ISAC) has been identified as a key 6G application by ITU and 3GPP, with standardization efforts already underway. Sensing tasks, such as target localization, demand more precise characterization of the sensing target (ST) in ISAC channel modeling. The ST couples complexly with environmental scatterers, potentially blocking some multipaths and generating new ones, resulting in power variations compared to the original channel. To accurately model this effect…

Difference Imaging-Based Parking Lot Surveillance in Multi-RIS-Aided Collaborative ISAC System
Zhengze Ji, Yixuan Huang, Zhixin Chen, Jie Yang, Shi Jin
https://arxiv.org/abs/2507.03851

Difference Imaging-Based Parking Lot Surveillance in Multi-RIS-Aided Collaborative ISAC System
Parking lot surveillance with integrated sensing and communication (ISAC) system is one of the potential application scenarios defined by 3rd Generation Partnership Project (3GPP). Traditional surveillance systems using cameras or magnetic sensors face limitations such as light dependence, high costs, and constrained scalability. Wireless sensing with reconfigurable intelligent surfaces (RISs) has the ability to address the above limitations due to its light independence and lower deployment ov…

Efficient Tactile Perception with Soft Electrical Impedance Tomography and Pre-trained Transformer
Huazhi Dong (Sharel), Ronald B. Liu (Sharel), Sihao Teng (Sharel), Delin Hu (Sharel), Peisan (Sharel), E, Francesco Giorgio-Serchi, Yunjie Yang
https://arxiv.org/abs/2506.02824

Efficient Tactile Perception with Soft Electrical Impedance Tomography and Pre-trained Transformer
Tactile sensing is fundamental to robotic systems, enabling interactions through physical contact in multiple tasks. Despite its importance, achieving high-resolution, large-area tactile sensing remains challenging. Electrical Impedance Tomography (EIT) has emerged as a promising approach for large-area, distributed tactile sensing with minimal electrode requirements which can lend itself to addressing complex contact problems in robotics. However, existing EIT-based tactile reconstruction meth…

Experience Paper: Scaling WiFi Sensing to Millions of Commodity Devices for Ubiquitous Home Monitoring
Guozhen Zhu, Yuqian Hu, Chenshu Wu, Wei-Hsiang Wang, Beibei Wang, K. J. Ray Liu
https://arxiv.org/abs/2506.04322

Experience Paper: Scaling WiFi Sensing to Millions of Commodity Devices for Ubiquitous Home Monitoring
WiFi-based home monitoring has emerged as a compelling alternative to traditional camera- and sensor-based solutions, offering wide coverage with minimal intrusion by leveraging existing wireless infrastructure. This paper presents key insights and lessons learned from developing and deploying a large-scale WiFi sensing solution, currently operational across over 10 million commodity off-the-shelf routers and 100 million smart bulbs worldwide. Through this extensive deployment, we identify four…

Flexible Intelligent Metasurface for Enhancing Multi-Target Wireless Sensing
Zihao Teng, Jiancheng An, Lu Gan, Naofal Al-Dhahir, Zhu Han
https://arxiv.org/abs/2506.23052

Flexible Intelligent Metasurface for Enhancing Multi-Target Wireless Sensing
Flexible intelligent metasurface (FIM) has emerged as a transformative technology to enhance wireless sensing by dynamically morphing its three-dimensional (3D) surface shape and electromagnetic response. Unlike conventional rigid arrays, an FIM consists of low-cost radiating elements that can independently adjust their positions and radiation characteristics, thereby allowing for real-time optimization of the sensing environment. This paper investigates the impact of FIM on wireless sensing pe…

Spectral Efficiency Maximization for mmWave MIMO-Aided Integrated Sensing and Communication Under Practical Constraints
Jitendra Singh, Anand Mehrotra, Suraj Srivastava, Aditya K. Jagannatham, Lajos Hanzo
https://arxiv.org/abs/2506.04683

Spectral Efficiency Maximization for mmWave MIMO-Aided Integrated Sensing and Communication Under Practical Constraints
A hybrid transmit precoder (TPC) and receive combiner (RC) pair is conceived for millimeter wave (mmWave) multiple input multiple output (MIMO) integrated sensing and communication (ISAC) systems. The proposed design considers a practical mean squared error (MSE) constraint between the desired and the achieved beampatterns constructed for identifying radar targets (RTs). To achieve optimal performance, we formulate an optimization problem relying on sum spectral efficiency (SE) maximization of …

This https://arxiv.org/abs/2505.08070 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Polarforming Antenna Enhanced Sensing and Communication: Modeling and Optimization
In this paper, we propose a novel polarforming antenna (PA) to achieve cost-effective wireless sensing and communication. Specifically, the PA can enable polarforming to adaptively control the antenna's polarization electrically as well as tune its position/rotation mechanically, so as to effectively exploit polarization and spatial diversity to reconfigure wireless channels for improving sensing and communication performance. We study an PA-enhanced integrated sensing and communication (ISAC) …

System-integrated intrinsic static-dynamic pressure sensing enabled by charge excitation and 3D gradient engineering for autonomous robotic interaction
Kequan Xia, Song Yang, Jianguo Lu, Min Yu
https://arxiv.org/abs/2505.24645

System-integrated intrinsic static-dynamic pressure sensing enabled by charge excitation and 3D gradient engineering for autonomous robotic interaction
High-resolution pressure sensing that distinguishes static and dynamic inputs is vital for intelligent robotics but remains challenging for self-powered sensors. We present a self-powered intrinsic static-dynamic pressure sensor (iSD Sensor) that integrates charge excitation with a 3D gradient-engineered structure, achieving enhanced voltage outputs-over 25X for static and 15X for dynamic modes. The sensor exhibits multi-region sensitivities (up to 34.7 V/kPa static, 48.4 V/kPa dynamic), a low …

DAS-MAE: A self-supervised pre-training framework for universal and high-performance representation learning of distributed fiber-optic acoustic sensing
Junyi Duan, Jiageng Chen, Zuyuan He
https://arxiv.org/abs/2506.04552

DAS-MAE: A self-supervised pre-training framework for universal and high-performance representation learning of distributed fiber-optic acoustic sensing
Distributed fiber-optic acoustic sensing (DAS) has emerged as a transformative approach for distributed vibration measurement with high spatial resolution and long measurement range while maintaining cost-efficiency. However, the two-dimensional spatial-temporal DAS signals present analytical challenges. The abstract signal morphology lacking intuitive physical correspondence complicates human interpretation, and its unique spatial-temporal coupling renders conventional image processing methods…

Joint Target Acquisition and Refined Position Estimation in OFDM-based ISAC Networks
Lorenzo Pucci, Andrea Giorgetti
https://arxiv.org/abs/2507.07081 https…

Joint Target Acquisition and Refined Position Estimation in OFDM-based ISAC Networks
This paper addresses joint target acquisition and position estimation in an OFDM-based integrated sensing and communication (ISAC) network with base station (BS) cooperation via a fusion center. A two-stage framework is proposed: in the first stage, each BS computes range-angle maps to detect targets and estimate coarse positions, exploiting spatial diversity. In the second stage, refined localization is performed using a cooperative maximum likelihood (ML) estimator over predefined regions of …

Beamforming for Secure RSMA-Aided ISAC Systems
Qian Dan, Hongjiang Lei, Ki-Hong Park, Gaofeng Pan
https://arxiv.org/abs/2506.03622 https://

Beamforming for Secure RSMA-Aided ISAC Systems
This work investigates the physical layer security of rate-splitting multiple access (RSMA)-aided integrated communication and sensing (ISAC) systems. The ISAC base station (BS) transmits signals to communicate with users in an eavesdropped scenario and to estimate the parameters of the sensed targets. The research considers different sensing signals under RSMA technology and the Cram{é}r-Rao bound of the parameter estimation is utilized as the sensing metric. With the channel state informatio…

Sensing for Free: Learn to Localize More Sources than Antennas without Pilots
Wentao Yu, Khaled B. Letaief, Lizhong Zheng
https://arxiv.org/abs/2506.23525 …

Sensing for Free: Learn to Localize More Sources than Antennas without Pilots
Integrated sensing and communication (ISAC) represents a key paradigm for future wireless networks. However, existing approaches require waveform modifications, dedicated pilots, or overhead that complicates standards integration. We propose sensing for free - performing multi-source localization without pilots by reusing uplink data symbols, making sensing occur during transmission and directly compatible with 3GPP 5G NR and 6G specifications. With ever-increasing devices in dense 6G networks,…

Integrated Polarimetric Sensing and Communication with Polarization-Reconfigurable Arrays
Byunghyun Lee, Rang Liu, David J. Love, James V. Krogmeier, A. Lee Swindlehurst
https://arxiv.org/abs/2506.23410

Integrated Polarimetric Sensing and Communication with Polarization-Reconfigurable Arrays
Polarization diversity offers a cost- and space-efficient solution to enhance the performance of integrated sensing and communication systems. Polarimetric sensing exploits the signal's polarity to extract details about the target such as shape, pose, and material composition. From a communication perspective, polarization diversity can enhance the reliability and throughput of communication channels. This paper proposes an integrated polarimetric sensing and communication (IPSAC) system that j…

Identification of RIS-Assisted Paths for Wireless Integrated Sensing and Communication
Zeyu Huang, Stefan Schwarz, Bashar Tahir, Markus Rupp
https://arxiv.org/abs/2506.04123

Identification of RIS-Assisted Paths for Wireless Integrated Sensing and Communication
Distinguishing between reconfigurable intelligent surface (RIS) assisted paths and non-line-of-sight (NLOS) paths is a fundamental problem for RIS-assisted integrated sensing and communication. In this work, we propose a pattern alternation scheme for the RIS response that uses part of the RIS as a dynamic part to modulate the estimated channel power, which can considerably help the user equipments (UEs) to identify the RIS-assisted paths. Under such a dynamic setup, we formulate the detection …

STAR-RIS Transceivers: Integrated Sensing and Communication with Pulsed Signals
Hedieh Taremizadeh, Emanuele Grossi, Luca Venturino
https://arxiv.org/abs/2507.02346

STAR-RIS Transceivers: Integrated Sensing and Communication with Pulsed Signals
This study examines an integrated sensing and communication (ISAC) transceiver featuring a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) and a receiver equipped with a passive electronically scanned array (PESA) and a single digital channel. By utilizing a periodic pulsed signal emitted by a feeder, we introduce at the STAR-RIS a space modulation to illuminate two angular directions observed by the radar receiver, one in each half-space, and a time modul…

Track-before-detect in RIS-aided Integrated Sensing and Communication
Georgios Mylonopoulos, Luca Venturino, Emanuele Grossi, Stefano Buzzi, Ciro D'Elia
https://arxiv.org/abs/2507.02352

Track-before-detect in RIS-aided Integrated Sensing and Communication
This study considers a base station equipped with sensing and communication capabilities, which serves a ground user and scans a portion of the sky via a passive reconfigurable intelligent surface. To achieve more favorable system tradeoffs, we utilize a multi-frame radar detector, comprising a detector, a plot-extractor, and a track-before-detect processor. The main idea proposed here is that user spectral efficiency can be enhanced by increasing the number of scans jointly processed by the mu…

Refined Metrics, Sensing Limits, and Resource Allocation in OTFS-RSMA LEO ISAC
Bruno Felipe Costa, Taufik Abr\~ao
https://arxiv.org/abs/2506.02624 https://…

Refined Metrics, Sensing Limits, and Resource Allocation in OTFS-RSMA LEO ISAC
This paper develops an integrated OTFS-RSMA framework employing advanced SP techniques tailored for this demanding environment. We derive refined communication performance metrics, specifically SINR expressions capturing the practical effects of ICSI and ISIC. Moreover, fundamental sensing limits are established via CRB derivation incorporating parameter-dependent echo gain, linking waveform SP properties to estimation accuracy. The resource allocation is formulated as a non-convex optimization…