Image de couverture de livre

Subequivariant Reinforcement Learning Framework for Coordinated Motion Control

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Haoyu, Tan, Xiaoyu, Qiu, Xihe, Qu, Chao
Format:	Preprint
Publié:	2024
Sujets:	Robotics Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
par: Chen, Runfa, et autres
Publié: (2024)

Reward Guidance for Reinforcement Learning Tasks Based on Large Language Models: The LMGT Framework
par: Deng, Yongxin, et autres
Publié: (2024)

CUBic: Coordinated Unified Bimanual Perception and Control Framework
par: Wang, Xingyu, et autres
Publié: (2026)

Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models
par: Qiu, Xihe, et autres
Publié: (2024)

Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement Learning
par: Shetty, Gaurav, et autres
Publié: (2025)

FedSlate:A Federated Deep Reinforcement Learning Recommender System
par: Deng, Yongxin, et autres
Publié: (2024)

Multi-Gait Learning for Humanoid Robots Using Reinforcement Learning with Selective Adversarial Motion Prior
par: Wu, Yuanye, et autres
Publié: (2026)

Deployable Reinforcement Learning with Variable Control Rate
par: Wang, Dong, et autres
Publié: (2024)

Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving
par: Zeqiao, Li, et autres
Publié: (2025)

DiSA-IQL: Offline Reinforcement Learning for Robust Soft Robot Control under Distribution Shifts
par: He, Linjin, et autres
Publié: (2025)

Bidirectional Task-Motion Planning Based on Hierarchical Reinforcement Learning for Strategic Confrontation
par: Wu, Qizhen, et autres
Publié: (2025)

OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
par: Xu, Botian, et autres
Publié: (2023)

RobotDancing: Residual-Action Reinforcement Learning Enables Robust Long-Horizon Humanoid Motion Tracking
par: Sun, Zhenguo, et autres
Publié: (2025)

Extending Group Relative Policy Optimization to Continuous Control: A Theoretical Framework for Robotic Reinforcement Learning
par: Khanda, Rajat, et autres
Publié: (2025)

EEG-VLM: A Hierarchical Vision-Language Model with Multi-Level Feature Alignment and Visually Enhanced Language-Guided Reasoning for EEG Image-Based Sleep Stage Prediction
par: Qiu, Xihe, et autres
Publié: (2025)

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach
par: Hu, Jia, et autres
Publié: (2025)

Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback
par: Gao, Feng, et autres
Publié: (2024)

Towards Adaptable Humanoid Control via Adaptive Motion Tracking
par: Huang, Tao, et autres
Publié: (2025)

A Framework for Guided Motion Planning
par: Attali, Amnon, et autres
Publié: (2024)

ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control
par: Yano, Yoshiki, et autres
Publié: (2025)

KungfuBot2: Learning Versatile Motion Skills for Humanoid Whole-Body Control
par: Han, Jinrui, et autres
Publié: (2025)

Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control
par: Shianifar, Jonaid, et autres
Publié: (2024)

AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control
par: Li, Jialong, et autres
Publié: (2025)

SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving
par: Qiu, Anjie, et autres
Publié: (2026)

Reachability Verification Based Reliability Assessment for Deep Reinforcement Learning Controlled Robotics and Autonomous Systems
par: Dong, Yi, et autres
Publié: (2022)

Interactive OT Gym: A Reinforcement Learning-Based Interactive Optical tweezer (OT)-Driven Microrobotics Simulation Platform
par: Tan, Zongcai, et autres
Publié: (2025)

CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks
par: Deng, Yongxin, et autres
Publié: (2024)

Integrating Controllable Motion Skills from Demonstrations
par: Liao, Honghao, et autres
Publié: (2024)

SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers
par: Christen, Sammy, et autres
Publié: (2023)

COLSON: Controllable Learning-Based Social Navigation via Diffusion-Based Reinforcement Learning
par: Matsumoto, Kohei, et autres
Publié: (2025)

AirScape: An Aerial Generative World Model with Motion Controllability
par: Zhao, Baining, et autres
Publié: (2025)

Application of LLM Guided Reinforcement Learning in Formation Control with Collision Avoidance
par: Yao, Chenhao, et autres
Publié: (2025)

Deep Reinforcement Learning for Multi-Agent Coordination
par: Aina, Kehinde O., et autres
Publié: (2025)

Hybrid Motion Planning with Deep Reinforcement Learning for Mobile Robot Navigation
par: Kolomeytsev, Yury, et autres
Publié: (2025)

Watch Less, Feel More: Sim-to-Real RL for Generalizable Articulated Object Manipulation via Motion Adaptation and Impedance Control
par: Do, Tan-Dzung, et autres
Publié: (2025)

BORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-World Dexterous VLA Models
par: Chen, Zhongxi, et autres
Publié: (2026)

A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation
par: Zhu, Xiang, et autres
Publié: (2022)

Hybrid Framework for Robotic Manipulation: Integrating Reinforcement Learning and Large Language Models
par: Saad, Md, et autres
Publié: (2026)

I-CTRL: Imitation to Control Humanoid Robots Through Constrained Reinforcement Learning
par: Yan, Yashuai, et autres
Publié: (2024)

Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots
par: Zhang, Yulai, et autres
Publié: (2026)