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cs.RO2026
AGILE: A Comprehensive Workflow for Humanoid Loco-Manipulation Learning
Huihua Zhao, Rafael Cathomen, Lionel Gulich +6
Recent advances in reinforcement learning (RL) have enabled impressive humanoid behaviors in simulation, yet transferring these results to new robots remains challenging. In many r…
cs.RO2025
Intrinsic-Motivation Multi-Robot Social Formation Navigation with Coordinated Exploration
Hao Fu, Wei Liu, Shuai Zhou
This paper investigates the application of reinforcement learning (RL) to multi-robot social formation navigation, a critical capability for enabling seamless human-robot coexisten…
cs.RO2023
Robot Crowd Navigation in Dynamic Environment with Offline Reinforcement Learning
Shuai Zhou, Hao Fu, Haodong He +1
Robot crowd navigation has been gaining increasing attention and popularity in various practical applications. In existing research, deep reinforcement learning has been applied to…