CompliantVLA-adaptor: VLM-Guided Variable Impedance Action for Safe Contact-Rich Manipulation
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Heng, Huang, Wei-Hsing, Tong, Qiyi, Solak, Gokhan, Liu, Puze, Zhang, Kaidi, Liu, Sheng, Peters, Jan, She, Yu, Ajoudani, Arash |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
OmniVIC: A Self-Improving Variable Impedance Controller with Vision-Language In-Context Learning for Safe Robotic Manipulation
por: Zhang, Heng, et al.
Publicado: (2025)
por: Zhang, Heng, et al.
Publicado: (2025)
Bresa: Bio-inspired Reflexive Safe Reinforcement Learning for Contact-Rich Robotic Tasks
por: Zhang, Heng, et al.
Publicado: (2025)
por: Zhang, Heng, et al.
Publicado: (2025)
Passivity-Centric Safe Reinforcement Learning for Contact-Rich Robotic Tasks
por: Zhang, Heng, et al.
Publicado: (2025)
por: Zhang, Heng, et al.
Publicado: (2025)
SRL-VIC: A Variable Stiffness-Based Safe Reinforcement Learning for Contact-Rich Robotic Tasks
por: Zhang, Heng, et al.
Publicado: (2024)
por: Zhang, Heng, et al.
Publicado: (2024)
Safe Learning for Contact-Rich Robot Tasks: A Survey from Classical Learning-Based Methods to Safe Foundation Models
por: Zhang, Heng, et al.
Publicado: (2025)
por: Zhang, Heng, et al.
Publicado: (2025)
TacVLA: Contact-Aware Tactile Fusion for Robust Vision-Language-Action Manipulation
por: Zhang, Kaidi, et al.
Publicado: (2026)
por: Zhang, Kaidi, et al.
Publicado: (2026)
Online Learning for Vibration Suppression in Physical Robot Interaction using Power Tools
por: Solak, Gokhan, et al.
Publicado: (2025)
por: Solak, Gokhan, et al.
Publicado: (2025)
A Survey on Imitation Learning for Contact-Rich Tasks in Robotics
por: Tsuji, Toshiaki, et al.
Publicado: (2025)
por: Tsuji, Toshiaki, et al.
Publicado: (2025)
Self-supervised Physics-Informed Manipulation of Deformable Linear Objects with Non-negligible Dynamics
por: Long, Youyuan, et al.
Publicado: (2026)
por: Long, Youyuan, et al.
Publicado: (2026)
A Framework for Adaptive Load Redistribution in Human-Exoskeleton-Cobot Systems
por: Mobedi, Emir, et al.
Publicado: (2025)
por: Mobedi, Emir, et al.
Publicado: (2025)
Dissipative Latent Residual Physics-Informed Neural Networks for Modeling and Identification of Electromechanical Systems
por: Long, Youyuan, et al.
Publicado: (2026)
por: Long, Youyuan, et al.
Publicado: (2026)
Graph-based Online Monitoring of Train Driver States via Facial and Skeletal Features
por: Nocentini, Olivia, et al.
Publicado: (2025)
por: Nocentini, Olivia, et al.
Publicado: (2025)
Context-aware collaborative pushing of heavy objects using skeleton-based intention prediction
por: Solak, Gokhan, et al.
Publicado: (2025)
por: Solak, Gokhan, et al.
Publicado: (2025)
HumanoidVLM: Vision-Language-Guided Impedance Control for Contact-Rich Humanoid Manipulation
por: Mahmoud, Yara, et al.
Publicado: (2026)
por: Mahmoud, Yara, et al.
Publicado: (2026)
Reward-Zero: Language Embedding Driven Implicit Reward Mechanisms for Reinforcement Learning
por: Zhang, Heng, et al.
Publicado: (2026)
por: Zhang, Heng, et al.
Publicado: (2026)
Anticipatory Fall Detection in Humans with Hybrid Directed Graph Neural Networks and Long Short-Term Memory
por: Cho, Younggeol, et al.
Publicado: (2025)
por: Cho, Younggeol, et al.
Publicado: (2025)
Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation
por: Ye, Guo, et al.
Publicado: (2025)
por: Ye, Guo, et al.
Publicado: (2025)
Soft and Compliant Contact-Rich Hair Manipulation and Care
por: Yoo, Uksang, et al.
Publicado: (2025)
por: Yoo, Uksang, et al.
Publicado: (2025)
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
por: Günster, Jonas, et al.
Publicado: (2024)
por: Günster, Jonas, et al.
Publicado: (2024)
FD-VLA: Force-Distilled Vision-Language-Action Model for Contact-Rich Manipulation
por: Zhao, Ruiteng, et al.
Publicado: (2026)
por: Zhao, Ruiteng, et al.
Publicado: (2026)
PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation
por: Guo, Pengyuan, et al.
Publicado: (2026)
por: Guo, Pengyuan, et al.
Publicado: (2026)
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
por: Liu, Puze, et al.
Publicado: (2024)
por: Liu, Puze, et al.
Publicado: (2024)
Adaptive Control based Friction Estimation for Tracking Control of Robot Manipulators
por: Huang, Junning, et al.
Publicado: (2024)
por: Huang, Junning, et al.
Publicado: (2024)
Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
por: Xu, Xiaomeng, et al.
Publicado: (2025)
por: Xu, Xiaomeng, et al.
Publicado: (2025)
Diffusion-Based Impedance Learning for Contact-Rich Manipulation Tasks
por: Geiger, Noah, et al.
Publicado: (2025)
por: Geiger, Noah, et al.
Publicado: (2025)
Semantic Visual Simultaneous Localization and Mapping: A Survey
por: Chen, Kaiqi, et al.
Publicado: (2022)
por: Chen, Kaiqi, et al.
Publicado: (2022)
PaCo-VLA: Passivity-Shielded Compliance Prior for Contact-Rich Vision-Language-Action Manipulation
por: Cao, Haofan, et al.
Publicado: (2026)
por: Cao, Haofan, et al.
Publicado: (2026)
FAVLA: A Force-Adaptive Fast-Slow VLA model for Contact-Rich Robotic Manipulation
por: Li, Yao, et al.
Publicado: (2026)
por: Li, Yao, et al.
Publicado: (2026)
TLA: Tactile-Language-Action Model for Contact-Rich Manipulation
por: Hao, Peng, et al.
Publicado: (2025)
por: Hao, Peng, et al.
Publicado: (2025)
Distilling Contact Planning for Fast Trajectory Optimization in Robot Air Hockey
por: Jankowski, Julius, et al.
Publicado: (2024)
por: Jankowski, Julius, et al.
Publicado: (2024)
HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing
por: Gubernatorov, Konstantin, et al.
Publicado: (2026)
por: Gubernatorov, Konstantin, et al.
Publicado: (2026)
A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation
por: Zhu, Xiang, et al.
Publicado: (2022)
por: Zhu, Xiang, et al.
Publicado: (2022)
SELF-VLA: A Skill Enhanced Agentic Vision-Language-Action Framework for Contact-Rich Disassembly
por: Liu, Chang, et al.
Publicado: (2026)
por: Liu, Chang, et al.
Publicado: (2026)
Robust Peg-in-Hole Assembly under Uncertainties via Compliant and Interactive Contact-Rich Manipulation
por: Chen, Yiting, et al.
Publicado: (2025)
por: Chen, Yiting, et al.
Publicado: (2025)
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
por: Kicki, Piotr, et al.
Publicado: (2024)
por: Kicki, Piotr, et al.
Publicado: (2024)
Learning Tactile-Aware Quadrupedal Loco-Manipulation Policies
por: Zhou, Pokuang, et al.
Publicado: (2026)
por: Zhou, Pokuang, et al.
Publicado: (2026)
A Machine Learning Approach to Sensor Substitution from Tactile Sensing to Visual Perception for Non-Prehensile Manipulation
por: Ozdamar, Idil, et al.
Publicado: (2025)
por: Ozdamar, Idil, et al.
Publicado: (2025)
Lightweight Facial Landmark Detection in Thermal Images via Multi-Level Cross-Modal Knowledge Transfer
por: Tong, Qiyi, et al.
Publicado: (2025)
por: Tong, Qiyi, et al.
Publicado: (2025)
A Human-in-the-loop Approach to Robot Action Replanning through LLM Common-Sense Reasoning
por: Merlo, Elena, et al.
Publicado: (2025)
por: Merlo, Elena, et al.
Publicado: (2025)
VibeCheck: Using Active Acoustic Tactile Sensing for Contact-Rich Manipulation
por: Zhang, Kaidi, et al.
Publicado: (2025)
por: Zhang, Kaidi, et al.
Publicado: (2025)
Ejemplares similares
-
OmniVIC: A Self-Improving Variable Impedance Controller with Vision-Language In-Context Learning for Safe Robotic Manipulation
por: Zhang, Heng, et al.
Publicado: (2025) -
Bresa: Bio-inspired Reflexive Safe Reinforcement Learning for Contact-Rich Robotic Tasks
por: Zhang, Heng, et al.
Publicado: (2025) -
Passivity-Centric Safe Reinforcement Learning for Contact-Rich Robotic Tasks
por: Zhang, Heng, et al.
Publicado: (2025) -
SRL-VIC: A Variable Stiffness-Based Safe Reinforcement Learning for Contact-Rich Robotic Tasks
por: Zhang, Heng, et al.
Publicado: (2024) -
Safe Learning for Contact-Rich Robot Tasks: A Survey from Classical Learning-Based Methods to Safe Foundation Models
por: Zhang, Heng, et al.
Publicado: (2025)