Tootfinder

Cooperative Function with Thermal Fluctuations in Mechanical Networks
Ben Pisanty, Jovana Andrejevic, Andrea J. Liu, Sidney R. Nagel
https://arxiv.org/abs/2509.20560 https://

Cooperative Function with Thermal Fluctuations in Mechanical Networks
Elastic networks can be tuned to exhibit complex mechanical responses and have been extensively used to study protein allosteric functionality, where a localized strain regulates the conformation at a distant site. We show that cooperative binding, where two sites each enhance the other's ability to function, can be trained via a symmetric application of the training previously employed for creating network allostery. We identify a crossover temperature above which cooperative functionality bre…

Design Insights and Comparative Evaluation of a Hardware-Based Cooperative Perception Architecture for Lane Change Prediction
Mohamed Manzour, Catherine M. Elias, Omar M. Shehata, Rub\'en Izquierdo, Miguel \'Angel Sotelo
https://arxiv.org/abs/2509.20218

Design Insights and Comparative Evaluation of a Hardware-Based Cooperative Perception Architecture for Lane Change Prediction
Research on lane change prediction has gained attention in the last few years. Most existing works in this area have been conducted in simulation environments or with pre-recorded datasets, these works often rely on simplified assumptions about sensing, communication, and traffic behavior that do not always hold in practice. Real-world deployments of lane-change prediction systems are relatively rare, and when they are reported, the practical challenges, limitations, and lessons learned are oft…

Anyone have any idea if https://Meet.Coop is still being maintained? Maybe someone at @… knows?
It had been working fine, but today, suddenly a few people couldn't get audio to work.…

meet.coop - The Online Meeting Cooperative
Online meeting and conferencing tools, powered by renewable energy running on cooperatively owned and managed infrastructure.

Well I think I just found and root caused accidental O(n^2) behavior in a piece of commercial software that was turning what should have a been a few-second operation into six minutes.
It's sooo nice working with cooperative vendors. Finding and root causing the bug took me only a couple of minutes in VTune thanks to the vendor sharing a non-stripped binary with me to help me troubleshoot.

Georgia court filing organization warns of outages after ransomware allegations https://therecord.media/georgia-court-filing-org-ransomware-warning

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/9]:
- Multi-population Ensemble Genetic Programming via Cooperative Coevolution and Multi-view Learning...
Khorshidi, Yazdanjue, Gharoun, Nikoo, Chen, Gandomi

Pattern Formation in Agent-Based and PDE Models for Evolutionary Games with Payoff-Driven Motion
Tianyong Yao, Chenning Xu, Daniel B. Cooney
https://arxiv.org/abs/2509.20538 htt…

Pattern Formation in Agent-Based and PDE Models for Evolutionary Games with Payoff-Driven Motion
Spatial structure can play an important role in the evolution of cooperative behavior and the achievement of collective success of a population. In this paper, we explore the role of random and directed motion on spatial pattern formation and the payoff achieved by populations in both stochastic and deterministic models of spatial populations who engage in social interactions following a hawk-dove game. For the case of purely diffusive motion, both a stochastic spatial model and a partial diffe…

The European Union Agency for Cybersecurity (ENISA) is now a Common Vulnerabilities and Exposures (CVE) Program-Root, thus becoming a central point of contact within the CVE program for national/EU authorities, EU CSIRTs network members, and cooperative partners falling under ENISA’s mandate.
htt…

Migrating to #Hetzner
#Cloud

Temporal Cooperative Games
Ashwin Goyal, Drashthi Doshi, Swaprava Nath
https://arxiv.org/abs/2510.11255 https://arxiv.org/pdf/2510.11255

Temporal Cooperative Games
Classical cooperative game theory assumes that the worth of a coalition depends only on the set of agents involved, but in practice, it may also depend on the order in which agents arrive. Motivated by such scenarios, we introduce temporal cooperative games (TCG), where the worth $v$ becomes a function of the sequence of agents $π$ rather than just the set $S$. This shift calls for rethinking the underlying axioms. A key property in this temporal framework is the incentive for optimal arrival …

Pooling Probabilistic Forecasts for Cooperative Wind Power Offering
Honglin Wen, Pierre Pinson
https://arxiv.org/abs/2510.12382 https://arxiv.org/pdf/2510.…

Pooling Probabilistic Forecasts for Cooperative Wind Power Offering
Wind power producers can benefit from forming coalitions to participate cooperatively in electricity markets. To support such collaboration, various profit allocation rules rooted in cooperative game theory have been proposed. However, existing approaches overlook the lack of coherence among producers regarding forecast information, which may lead to ambiguity in offering and allocations. In this paper, we introduce a ``reconcile-then-optimize'' framework for cooperative market offerings. This …

ConPoSe: LLM-Guided Contact Point Selection for Scalable Cooperative Object Pushing
Noah Steinkr\"uger, Nisarga Nilavadi, Wolfram Burgard, Tanja Katharina Kaiser
https://arxiv.org/abs/2510.08705

ConPoSe: LLM-Guided Contact Point Selection for Scalable Cooperative Object Pushing
Object transportation in cluttered environments is a fundamental task in various domains, including domestic service and warehouse logistics. In cooperative object transport, multiple robots must coordinate to move objects that are too large for a single robot. One transport strategy is pushing, which only requires simple robots. However, careful selection of robot-object contact points is necessary to push the object along a preplanned path. Although this selection can be solved analytically, …

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
Simin Li, Zihao Mao, Hanxiao Li, Zonglei Jing, Zhuohang bian, Jun Guo, Li Wang, Zhuoran Han, Ruixiao Xu, Xin Yu, Chengdong Ma, Yuqing Ma, Bo An, Yaodong Yang, Weifeng Lv, Xianglong Liu
https://arxiv.org/abs/2510.11824

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
In cooperative Multi-Agent Reinforcement Learning (MARL), it is a common practice to tune hyperparameters in ideal simulated environments to maximize cooperative performance. However, policies tuned for cooperation often fail to maintain robustness and resilience under real-world uncertainties. Building trustworthy MARL systems requires a deep understanding of robustness, which ensures stability under uncertainties, and resilience, the ability to recover from disruptions--a concept extensively …

From our #cooperative, #MajavanTila: "Membership benefits for 2026".
https://www.majavantila.fi/en/posts/…

Cooperative Multi-Static ISAC Networks: A Unified Design Framework for Active and Passive Sensing
Yan Yang, Zhendong Li, Jianwei Zhao, Qingqing Wu, Zhiqing Wei, Wen Chen, Weimin Jia
https://arxiv.org/abs/2510.06654

Cooperative Multi-Static ISAC Networks: A Unified Design Framework for Active and Passive Sensing
Multi-static cooperative sensing emerges as a promising technology for advancing integrated sensing and communication (ISAC), enhancing sensing accuracy and range. In this paper, we develop a unified design framework for joint active and passive sensing (JAPS). In particular, we consider a JAPSbased cooperative multi-static ISAC system for coexisting downlink (DL) and uplink (UL) communications. An optimization problem is formulated for maximizing the sum rate of both the DL and UL transmission…

Sensing Performance Analysis in Cooperative Air-Ground ISAC Networks for LAE
Yihang Jiang, Xiaoyang Li, Guangxu Zhu, Xiaowen Cao, Kaifeng Han, Bingpeng Zhou, Xinyi Wang
https://arxiv.org/abs/2510.03642

Sensing Performance Analysis in Cooperative Air-Ground ISAC Networks for LAE
To support the development of low altitude economy, the air-ground integrated sensing and communication (ISAC) networks need to be constructed to provide reliable and robust communication and sensing services. In this paper, the sensing capabilities in the cooperative air-ground ISAC networks are evaluated in terms of area radar detection coverage probability under a constant false alarm rate, where the distribution of aggregated sensing interferences is analyzed as a key intermediate result. C…

https://socket.dev/blog/gem-cooperative-emerges-as-a-community-run-alternative-to-rubygems-org

Oh yeah, if anyone wants to join us on trying to survive; we have our B42 dedicated server up and running! Ping me for details.
Server is strictly cooperative PvE and I tried to adjust the settings to make it a bit easier to survive.
#ProjectZomboid

Achieving Coordination in Non-Cooperative Joint Replenishment Games
Junjie Luo, Changjun Wang
https://arxiv.org/abs/2510.10929 https://arxiv.org/pdf/2510.1…

Achieving Coordination in Non-Cooperative Joint Replenishment Games
We analyze an infinite-horizon deterministic joint replenishment model from a non-cooperative game-theoretical approach. In this model, a group of retailers can choose to jointly place an order, which incurs a major setup cost independent of the group, and a minor setup cost for each retailer. Additionally, each retailer is associated with a holding cost. Our objective is to design cost allocation rules that minimize the long-run average system cost while accounting for the fact that each retai…

MARCO: A Cooperative Knowledge Transfer Framework for Personalized Cross-domain Recommendations
Lili Xie, Yi Zhang, Ruihong Qiu, Jiajun Liu, Sen Wang
https://arxiv.org/abs/2510.04508

MARCO: A Cooperative Knowledge Transfer Framework for Personalized Cross-domain Recommendations
Recommender systems frequently encounter data sparsity issues, particularly when addressing cold-start scenarios involving new users or items. Multi-source cross-domain recommendation (CDR) addresses these challenges by transferring valuable knowledge from multiple source domains to enhance recommendations in a target domain. However, existing reinforcement learning (RL)-based CDR methods typically rely on a single-agent framework, leading to negative transfer issues caused by inconsistent doma…

Orcas team up with dolphins to hunt salmon, study finds
https://www.theguardian.com/environment/2025/dec/11/orca-killer-whale-dolphin-hunt-salmon-study-british-columbia-canada?CMP=Share_AndroidA…

Orcas team up with dolphins to hunt salmon, study finds
https://www.theguardian.com/environment/2025/dec/11/orca-killer-whale-dolphin-hunt-salmon-study-british-columbia-canada?CMP=Share_AndroidA…

Superradiance and Superabsorption Engine of $N$ Two-Level Systems: $N^{2}$-Power Scaling at Near-Unity Efficiency
L. F. Alves da Silva, H. Sanchez, M. A. Ponte, M. H. Y. Moussa, Norton G. de Almeida
https://arxiv.org/abs/2510.12017

Superradiance and Superabsorption Engine of $N$ Two-Level Systems: $N^{2}$-Power Scaling at Near-Unity Efficiency
We present a thermal engine that exploits the \emph{cooperative superradiance} and \emph{superabsorption} of a sample of \(N\) two-level atoms. This engine operates using a single cold reservoir via cycles of collective pumping followed by decay. Using an effective mean-field Hamiltonian to describe the many-body dynamics, we design optimized drive pulses that preserve adiabaticity and achieve an average power output scaling quadratically with the system size, \(P \propto N^2\). An experimental…

Adaptive Semantic Communication for UAV/UGV Cooperative Path Planning
Fangzhou Zhao, Yao Sun, Jianglin Lan, Lan Zhang, Xuesong Liu, Muhammad Ali Imran
https://arxiv.org/abs/2510.06901

Adaptive Semantic Communication for UAV/UGV Cooperative Path Planning
Effective path planning is fundamental to the coordination of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) systems, particularly in applications such as surveillance, navigation, and emergency response. Combining UAVs' broad field of view with UGVs' ground-level operational capability greatly improve the likelihood of successfully achieving task objectives such as locating victims, monitoring target areas, or navigating hazardous terrain. In complex environments, UAVs nee…

About a month ago I was a bit too optimistic*, the admin took over a month to complete....: Only last Tuesday Reasonable Sourcery was officially inCOOPerated.
Today we finally sent out the official introduction:
<https://lists.gnu.org/archive/html/guix-devel/2025…

DRCP: Diffusion on Reinforced Cooperative Perception for Perceiving Beyond Limits
Lantao Li, Kang Yang, Rui Song, Chen Sun
https://arxiv.org/abs/2509.24903 https://

DRCP: Diffusion on Reinforced Cooperative Perception for Perceiving Beyond Limits
Cooperative perception enabled by Vehicle-to-Everything communication has shown great promise in enhancing situational awareness for autonomous vehicles and other mobile robotic platforms. Despite recent advances in perception backbones and multi-agent fusion, real-world deployments remain challenged by hard detection cases, exemplified by partial detections and noise accumulation which limit downstream detection accuracy. This work presents Diffusion on Reinforced Cooperative Perception (DRCP)…

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
Shahbaz P Qadri Syed, He Bai
https://arxiv.org/abs/2510.09937 https://

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
The empirical success of multi-agent reinforcement learning (MARL) has motivated the search for more efficient and scalable algorithms for large scale multi-agent systems. However, existing state-of-the-art algorithms do not fully exploit inter-agent coupling information to develop MARL algorithms. In this paper, we propose a systematic approach to leverage structures in the inter-agent couplings for efficient model-free reinforcement learning. We model the cooperative MARL problem via a Bayesi…

CAMNet: Leveraging Cooperative Awareness Messages for Vehicle Trajectory Prediction
Mattia Grasselli, Angelo Porrello, Carlo Augusto Grazia
https://arxiv.org/abs/2510.12703 http…

CAMNet: Leveraging Cooperative Awareness Messages for Vehicle Trajectory Prediction
Autonomous driving remains a challenging task, particularly due to safety concerns. Modern vehicles are typically equipped with expensive sensors such as LiDAR, cameras, and radars to reduce the risk of accidents. However, these sensors face inherent limitations: their field of view and line of sight can be obstructed by other vehicles, thereby reducing situational awareness. In this context, vehicle-to-vehicle communication plays a crucial role, as it enables cars to share information and rema…

Decentralized CBF-based Safety Filters for Collision Avoidance of Cooperative Missile Systems with Input Constraints
Johannes Autenrieb, Mark Spiller
https://arxiv.org/abs/2510.06846

Decentralized CBF-based Safety Filters for Collision Avoidance of Cooperative Missile Systems with Input Constraints
This paper presents a decentralized safety filter for collision avoidance in multi-agent aerospace interception scenarios. The approach leverages robust control barrier functions (RCBFs) to guarantee forward invariance of safety sets under bounded inputs and high-relative-degree dynamics. Each effector executes its nominal cooperative guidance command, while a local quadratic program (QP) modifies the input only when necessary. Event-triggered activation based on range and zero-effort miss (ZEM…

Cooperative floor staff are about to go on strike as their way of working is changing so that they work on their own and not in pairs as they generally do.
This is a matter of safety at work.
#Employment #Cooperatives

An AUTOSAR-Aligned Architectural Study of Vulnerabilities in Automotive SoC Software
Srijita Basu, Haraldsson Bengt, Miroslaw Staron, Christian Berger, Jennifer Horkoff, Magnus Almgren
https://arxiv.org/abs/2510.07941

An AUTOSAR-Aligned Architectural Study of Vulnerabilities in Automotive SoC Software
Cooperative, Connected and Automated Mobility (CCAM) are complex cyber-physical systems (CPS) that integrate computation, communication, and control in safety-critical environments. At their core, System-on-Chip (SoC) platforms consolidate processing units, communication interfaces, AI accelerators, and security modules into a single chip. AUTOSAR (AUTomotive Open System ARchitecture) standard was developed in the automotive domain to better manage this complexity, defining layered software str…

The eigentheory for nonlocal cooperative-advective system and its role in the study of free boundary system for directional epidemic models
Soufiane Bentout, Hoang-Hung Vo
https://arxiv.org/abs/2510.10024

Nonlinear Public Goods Game in Dynamical Environments
Yishen Jiang, Xin Wang, Wenqiang Zhu, Ming Wei, Longzhao Liu, Shaoting Tang, Hongwei Zheng
https://arxiv.org/abs/2510.10259

Nonlinear Public Goods Game in Dynamical Environments
The evolutionary mechanisms of cooperative behavior represent a fundamental topic in complex systems and evolutionary dynamics. Although recent advances have introduced real-world stochasticity in nonlinear public goods game (PGG), such stochasticity remains static, neglecting its origin in the external environment as well as the coevolution of system stochasticity and cooperative behavior driven by environmental dynamics. In this work, we introduce a dynamic environment feedback mechanism into…

Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models
Raha Askari, Sina Zarrie{\ss}, \"Ozge Alacam, Judith Sieker
https://arxiv.org/abs/2510.04764

Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models
Implicit meanings are integral to human communication, making it essential for language models to be capable of identifying and interpreting them. Grice (1975) proposed a set of conversational maxims that guide cooperative dialogue, noting that speakers may deliberately violate these principles to express meanings beyond literal words, and that listeners, in turn, recognize such violations to draw pragmatic inferences. Building on Surian et al. (1996)'s study of children's sensitivity to viol…

Resource Allocation in Cooperative Mid-band/THz Networks in the Presence of Mobility
Mohammad Amin Saeidi, Hina Tabassum
https://arxiv.org/abs/2509.23065 https://

Resource Allocation in Cooperative Mid-band/THz Networks in the Presence of Mobility
This paper develops a comprehensive framework to investigate and optimize the downlink performance of cooperative multi-band networks (MBNs) operating on upper mid-band (UMB) and terahertz (THz) frequencies, where base stations (BSs) in each band cooperatively serve users. The framework captures sophisticated features such as near-field channel modeling, fully and partially connected antenna architectures, and users' mobility. First, we consider joint user association and hybrid beamforming opt…

Replaced article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
[1/1]:
- Proxima. A DAG based cooperative distributed ledger
Evaldas Drasutis
https://

Dairy Farmers of America confirms June cyberattack leaked personal data https://therecord.media/dairy-farm-leaked-info-ransomware

A Linear Programming Approach to Estimate the Core in Cooperative Games
J Camacho, JC Gon\c{c}alves-Dosantos, J S\'anchez-Soriano
https://arxiv.org/abs/2510.01766 https://…

A Linear Programming Approach to Estimate the Core in Cooperative Games
This paper proposes a novel algorithm to approximate the core of transferable utility (TU) cooperative games via linear programming. Given the computational hardness of determining the full core, our approach provides a tractable approximation by sampling extreme points through randomized linear problems (LPs). We analyze its convergence and computational complexity, and validate its effectiveness through extensive simulations on various game models. Our results show that the method is scalable…

Cooperative Guidance for Aerial Defense in Multiagent Systems
Shivam Bajpai, Abhinav Sinha, Shashi Ranjan Kumar
https://arxiv.org/abs/2510.02087 https://ar…

Cooperative Guidance for Aerial Defense in Multiagent Systems
This paper addresses a critical aerial defense challenge in contested airspace, involving three autonomous aerial vehicles -- a hostile drone (the pursuer), a high-value drone (the evader), and a protective drone (the defender). We present a cooperative guidance framework for the evader-defender team that guarantees interception of the pursuer before it can capture the evader, even under highly dynamic and uncertain engagement conditions. Unlike traditional heuristic, optimal control, or differ…

Networked Control and Mean Field Problems Under Diagonal Dominance: Decentralized and Social Optimality
Vivek Khatana, Duo Wang, Petros Voulgaris, Nicola Elia, Naira Hovakimyan
https://arxiv.org/abs/2510.01067

Networked Control and Mean Field Problems Under Diagonal Dominance: Decentralized and Social Optimality
In this article, we employ an input-output approach to expand the study of cooperative multi-agent control and optimization problems characterized by mean-field interactions that admit decentralized and selfish solutions. The setting involves $n$ independent agents that interact solely through a shared cost function, which penalizes deviations of each agent from the group's average collective behavior. Building on our earlier results established for homogeneous agents, we extend the framework t…

Inclusive Fitness as a Key Step Towards More Advanced Social Behaviors in Multi-Agent Reinforcement Learning Settings
Andries Rosseau, Rapha\"el Avalos, Ann Now\'e
https://arxiv.org/abs/2510.12555

Inclusive Fitness as a Key Step Towards More Advanced Social Behaviors in Multi-Agent Reinforcement Learning Settings
The competitive and cooperative forces of natural selection have driven the evolution of intelligence for millions of years, culminating in nature's vast biodiversity and the complexity of human minds. Inspired by this process, we propose a novel multi-agent reinforcement learning framework where each agent is assigned a genotype and where reward functions are modelled after the concept of inclusive fitness. An agent's genetic material may be shared with other agents, and our inclusive reward f…

From Embeddings to Equations: Genetic-Programming Surrogates for Interpretable Transformer Classification
Mohammad Sadegh Khorshidi, Navid Yazdanjue, Hassan Gharoun, Mohammad Reza Nikoo, Fang Chen, Amir H. Gandomi
https://arxiv.org/abs/2509.21341

From Embeddings to Equations: Genetic-Programming Surrogates for Interpretable Transformer Classification
We study symbolic surrogate modeling of frozen Transformer embeddings to obtain compact, auditable classifiers with calibrated probabilities. For five benchmarks (SST2G, 20NG, MNIST, CIFAR10, MSC17), embeddings from ModernBERT, DINOv2, and SigLIP are partitioned on the training set into disjoint, information-preserving views via semantic-preserving feature partitioning (SPFP). A cooperative multi-population genetic program (MEGP) then learns additive, closed-form logit programs over these views…

Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation
Rabiya Khalid, Evangelos Pournaras
https://arxiv.org/abs/2510.04192 https://

Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation
The growing electricity demand and increased use of smart appliances are placing new pressures on power grids, making efficient energy management more important than ever. The existing energy management systems often prioritize system efficiency (balanced energy demand and supply) at the expense of user comfort. This paper addresses this gap by proposing a novel decentralized multi-agent coordination-based demand-side management system. The proposed system enables individual agents to coordinat…

Multi-Agent Guided Policy Search for Non-Cooperative Dynamic Games
Jingqi Li, Gechen Qu, Jason J. Choi, Somayeh Sojoudi, Claire Tomlin
https://arxiv.org/abs/2509.24226 https://

Multi-Agent Guided Policy Search for Non-Cooperative Dynamic Games
Multi-agent reinforcement learning (MARL) optimizes strategic interactions in non-cooperative dynamic games, where agents have misaligned objectives. However, data-driven methods such as multi-agent policy gradients (MA-PG) often suffer from instability and limit-cycle behaviors. Prior stabilization techniques typically rely on entropy-based exploration, which slows learning and increases variance. We propose a model-based approach that incorporates approximate priors into the reward function a…

Fully Parallel Multi-Agent Photonic Optimizer
Ghazi Sarwat Syed, Philipp Schmidt, Frank Br\"uckerhoff-Pl\"uckelmann, Jelle Dijkstra, Wolfram H. P Pernice, Abu Sebastian
https://arxiv.org/abs/2510.06424

Fully Parallel Multi-Agent Photonic Optimizer
Optimization problems are central to many important cross-disciplinary applications.In their conventional implementations, the sequential nature of operations imposes strict limitations on the computational efficiency. Here, we discuss how analog optical computing can overcome this fundamental bottleneck. We propose a photonic optimizer unit, together with supporting algorithms that uses in memory computation within a nature inspired, multi agent cooperative framework. The system performs a seq…

Replaced article(s) found for q-bio.TO. https://arxiv.org/list/q-bio.TO/new
[1/1]:
- Panoramic Voltage-Sensitive Optical Mapping of Contracting Hearts using Cooperative Multi-View Mo...
Shrey Chowdhary, Jan Lebert, Shai Dickman, Charles Gordon, Jan Christoph

Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Directional quantum scattering transducer in cooperative Rydberg metasurfaces
Jonas von Milczewski, Kelly Werker Smith, Susanne F. Yelin

Replaced article(s) found for physics.med-ph. https://arxiv.org/list/physics.med-ph/new
[1/1]:
- Panoramic Voltage-Sensitive Optical Mapping of Contracting Hearts using Cooperative Multi-View Mo...
Shrey Chowdhary, Jan Lebert, Shai Dickman, Charles Gordon, Jan Christoph

Covert Waveform Design for Integrated Sensing and Communication System in Clutter Environment
Xuyang Zhao, Jiangtao Wang, Xinyu Zhang
https://arxiv.org/abs/2510.10563 https://…

Covert Waveform Design for Integrated Sensing and Communication System in Clutter Environment
This paper proposes an integrated sensing and communication (ISAC) system covert waveform design method for complex clutter environments, with the core objective of maximizing the signal-to-clutter-plus-noise ratio (SCNR). The design achieves efficient clutter suppression while meeting the covertness requirement through joint optimization of the transmit waveform and receive filter, enabling cooperative radar detection and wireless communication. This study presents key innovations that explici…

Learning to Lead Themselves: Agentic AI in MAS using MARL
Ansh Kamthan
https://arxiv.org/abs/2510.00022 https://arxiv.org/pdf/2510.00022

Learning to Lead Themselves: Agentic AI in MAS using MARL
As autonomous systems move from prototypes to real deployments, the ability of multiple agents to make decentralized, cooperative decisions becomes a core requirement. This paper examines how agentic artificial intelligence, agents that act independently, adaptively and proactively can improve task allocation and coordination in multi-agent systems, with primary emphasis on drone delivery and secondary relevance to warehouse automation. We formulate the problem in a cooperative multi-agent rein…

Safe Obstacle-Free Guidance of Space Manipulators in Debris Removal Missions via Deep Reinforcement Learning
Vincent Lam, Robin Chhabra
https://arxiv.org/abs/2510.06566 https://…

Safe Obstacle-Free Guidance of Space Manipulators in Debris Removal Missions via Deep Reinforcement Learning
The objective of this study is to develop a model-free workspace trajectory planner for space manipulators using a Twin Delayed Deep Deterministic Policy Gradient (TD3) agent to enable safe and reliable debris capture. A local control strategy with singularity avoidance and manipulability enhancement is employed to ensure stable execution. The manipulator must simultaneously track a capture point on a non-cooperative target, avoid self-collisions, and prevent unintended contact with the target.…

Trajectory control of a suspended load with non-stopping flying carriers
Sofia Girardello, Giulia Michieletto, Angelo Cenedese, Antonio Franchi, Chiara Gabellieri
https://arxiv.org/abs/2510.11413

Trajectory control of a suspended load with non-stopping flying carriers
This paper presents the first closed-loop control framework for cooperative payload transportation with non-stopping flying carriers. Building upon grasp-matrix formulations and internal force redundancy, we propose a feedback wrench controller that actively regulates the payload's pose while an optimization layer dynamically shapes internal-force oscillations to guarantee persistent carrier motion. Preliminary experimental results on multirotor UAVs validate the model assumptions, and numerica…

Multi-robot Rigid Formation Navigation via Synchronous Motion and Discrete-time Communication-Control Optimization
Qun Yang, Soung Chang Liew
https://arxiv.org/abs/2510.02624 ht…

Multi-robot Rigid Formation Navigation via Synchronous Motion and Discrete-time Communication-Control Optimization
Rigid-formation navigation of multiple robots is essential for applications such as cooperative transportation. This process involves a team of collaborative robots maintaining a predefined geometric configuration, such as a square, while in motion. For untethered collaborative motion, inter-robot communication must be conducted through a wireless network. Notably, few existing works offer a comprehensive solution for multi-robot formation navigation executable on microprocessor platforms via w…

Optimal Real-time Communication in 6G Ultra-Massive V2X Mobile Networks
He Huang, Zilong Liu, Zeping Sui, Wei Huang, Md. Noor-A-Rahim, Haishi Wang, Zhiheng Hu
https://arxiv.org/abs/2510.06937

Optimal Real-time Communication in 6G Ultra-Massive V2X Mobile Networks
This paper introduces a novel cooperative vehicular communication algorithm tailored for future 6G ultra-massive vehicle-to-everything (V2X) networks leveraging integrated space-air-ground communication systems. Specifically, we address the challenge of real-time information exchange among rapidly moving vehicles. We demonstrate the existence of an upper bound on channel capacity given a fixed number of relays, and propose a low-complexity relay selection heuristic algorithm. Simulation results…

#Culture #Nationalism #Fascism #Anarchism

Three-state coevolutionary game dynamics with environmental feedback
Yi-Duo Chen, Zhi-Xi Wu, Jian-Yue Guan
https://arxiv.org/abs/2510.07946 https://arxiv.o…

Three-state coevolutionary game dynamics with environmental feedback
Environmental feedback mechanisms are ubiquitous in real-world complex systems. In this study, we incorporate a homogeneous environment into the evolutionary dynamics of a three-state system comprising cooperators, defectors, and empty nodes. Both coherence resonance and equilibrium states, resulting from the tightly clustering of cooperator agglomerates, enhance population survival and environmental quality. The resonance phenomenon arises at the transition between cooperative and defective pa…

Replaced article(s) found for eess.SP. https://arxiv.org/list/eess.SP/new
[1/1]:
- Miniature UAV-Aided Cooperative THz Networks with Reconfigurable Energy Harvesting Holographic Su...
Yifei Song, Jalal Jalali, Yanyu Qin, Mostafa Darabi, Filip Lemic, Natasha Devroye

Touching the tumor boundary: A pilot study on ultrasound based virtual fixtures for breast-conserving surgery
Laura Connolly, Tamas Ungi, Adnan Munawar, Anton Deguet, Chris Yeung, Russell H. Taylor, Parvin Mousavi, Gabor Fichtinger Keyvan Hashtrudi-Zaad
https://arxiv.org/abs/2510.01452

Touching the tumor boundary: A pilot study on ultrasound based virtual fixtures for breast-conserving surgery
Purpose: Delineating tumor boundaries during breast-conserving surgery is challenging as tumors are often highly mobile, non-palpable, and have irregularly shaped borders. To address these challenges, we introduce a cooperative robotic guidance system that applies haptic feedback for tumor localization. In this pilot study, we aim to assess if and how this system can be successfully integrated into breast cancer care. Methods: A small haptic robot is retrofitted with an electrocautery blade t…

Multi-group Bayesian Games
Hongxing Yuan, Xuan Zhang, Chunyu Wei, Yushun Fan
https://arxiv.org/abs/2510.02078 https://arxiv.org/pdf/2510.02078

Multi-group Bayesian Games
This paper presents a model of multi-group Bayesian games (MBGs) to describe the group behavior in Bayesian games, and gives methods to find (strongly) multi-group Bayesian Nash equilibria (MBNE) of this model with a proposed transformation. MBNE represent the optimal strategy \textit{profiles} under the situation where players within a group play a cooperative game, while strongly MBNE characterize the optimal strategy \textit{profiles} under the situation where players within a group play a n…

Joint Probing and Scheduling for Cache-Aided Hybrid Satellite-Terrestrial Networks
Zhou Zhang, Yizhu Wang, Saman Atapattu, Sumei Sun
https://arxiv.org/abs/2510.04492 https://

Joint Probing and Scheduling for Cache-Aided Hybrid Satellite-Terrestrial Networks
Caching is crucial in hybrid satellite-terrestrial networks to reduce latency, optimize throughput, and improve data availability by storing frequently accessed content closer to users, especially in bandwidth-limited satellite systems, requiring strategic Medium Access Control (MAC) layer. This paper addresses throughput optimization in satellite-terrestrial integrated networks through opportunistic cooperative caching. We propose a joint probing and scheduling strategy to enhance content retr…