Tootfinder

DexVLG: Dexterous Vision-Language-Grasp Model at Scale
Jiawei He, Danshi Li, Xinqiang Yu, Zekun Qi, Wenyao Zhang, Jiayi Chen, Zhaoxiang Zhang, Zhizheng Zhang, Li Yi, He Wang
https://arxiv.org/abs/2507.02747

DexVLG: Dexterous Vision-Language-Grasp Model at Scale
As large models gain traction, vision-language-action (VLA) systems are enabling robots to tackle increasingly complex tasks. However, limited by the difficulty of data collection, progress has mainly focused on controlling simple gripper end-effectors. There is little research on functional grasping with large models for human-like dexterous hands. In this paper, we introduce DexVLG, a large Vision-Language-Grasp model for Dexterous grasp pose prediction aligned with language instructions usin…

Ken Utilization Layer: Hebbian Replay Within a Student's Ken for Adaptive Knowledge Tracing
Grey Kuling, Marinka Zitnik
https://arxiv.org/abs/2507.00032

Ken Utilization Layer: Hebbian Replay Within a Student's Ken for Adaptive Knowledge Tracing
We introduce KUL-KT, a biologically inspired architecture for knowledge tracing (KT), combining Hebbian memory encoding with gradient-based consolidation in a scalable, input-agnostic framework. KUL-KT adapts the principle of memory consolidation in neural systems, to student modeling by introducing two key innovations: (i) a time-decaying Hebbian memory update that enables graceful forgetting, and (ii) a novel Loss-aligned Internal Target (LIT) method to compute an ideal internal state, allowi…

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George Frideric Handel, Il Complesso Barocco & Alan Curtis:
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802.11bf Multiband Passive Sensing: Reusing Wi-Fi Signaling for Sensing
Pablo Picazo-Martinez, Carlos Barroso-Fern\'andez, Alejandro Calvillo-Fernandez, Milan Groshev, Carlos J. Bernardos, Antonio de la Oliva, Alain Mourad
https://arxiv.org/abs/2507.22591

802.11bf Multiband Passive Sensing: Reusing Wi-Fi Signaling for Sensing
This paper presents a novel multiband passive sensing system that leverages IEEE 802.11bf Wi-Fi signals for environmental sensing, focusing on both sub-7 GHz and millimeter-wave (mmWave) bands. By combining Channel State Information (CSI) from multiple bands, the system enhances accuracy and reliability in detecting human presence, movement, and activities in indoor environments. Utilizing a novel model, called MILAGRO, the system demonstrates robust performance across different scenarios, incl…

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping
Teng Guo, Baichuan Huang, Jingjin Yu
https://arxiv.org/abs/2506.17110 https://

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping
Accurate 6D object pose estimation is a prerequisite for successfully completing robotic prehensile and non-prehensile manipulation tasks. At present, 6D pose estimation for robotic manipulation generally relies on depth sensors based on, e.g., structured light, time-of-flight, and stereo-vision, which can be expensive, produce noisy output (as compared with RGB cameras), and fail to handle transparent objects. On the other hand, state-of-the-art monocular depth estimation models (MDEMs) provid…

GraSP: A Unified Graph-Based Framework for Scalable Generation, Quality Tagging, and Management of Synthetic Data for SFT and DPO
Bidyapati Pradhan, Surajit Dasgupta, Amit Kumar Saha, Omkar Anustoop, Sriram Puttagunta, Vipul Mittal, Gopal Sarda
https://arxiv.org/abs/2508.15432

GraSP: A Unified Graph-Based Framework for Scalable Generation, Quality Tagging, and Management of Synthetic Data for SFT and DPO
The advancement of large language models (LLMs) is critically dependent on the availability of high-quality datasets for Supervised Fine-Tuning (SFT), alignment tasks like Direct Preference Optimization (DPO), etc. In this work, we present a comprehensive synthetic data generation framework that facilitates scalable, configurable, and high-fidelity generation of synthetic data tailored for these training paradigms. Our approach employs a modular and configuration-based pipeline capable of model…

Global lattice models of a rotating planet -- view on shake, rattle and roll
William E. Barnfield, Alessio Kandiah, Vladimir Frid, Igor B. Movchan, Alexander B. Movchan
https://arxiv.org/abs/2508.16630

Global lattice models of a rotating planet -- view on shake, rattle and roll
A new approach, based on the analysis of a spectral problem for a discrete gyroscopic system, to modelling earthquakes on a rotating planet is presented in this paper. The eigenmodes of gyroscopic three-dimensional icosahedron-dodecahedron lattices are used for the discrete approximations of Earth's vibrations. Related model of the gyroscopic centred icosahedron lattice reveals new results about the motion of Earth's core. The vibrations of the tectonic plate boundaries, inducing shear and long…

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George Frideric Handel:
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https://open.spotify.com/track/2w7nmy1LVOrgQDVY3jDvLN

Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers
An-Lun Liu, Yu-Wei Chao, Yi-Ting Chen
https://arxiv.org/abs/2507.11287 https://…

Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers
In this paper, we study task-oriented human grasp synthesis, a new grasp synthesis task that demands both task and context awareness. At the core of our method is the task-aware contact maps. Unlike traditional contact maps that only reason about the manipulated object and its relation with the hand, our enhanced maps take into account scene and task information. This comprehensive map is critical for hand-object interaction, enabling accurate grasping poses that align with the task. We propose…

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The Brandenburg Consort, George Frideric Handel & Roy Goodman:
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