5 papers
Learning Versatile Humanoid Manipulation with Touch Dreaming
Yaru Niu, Zhenlong Fang, Binghong Chen +8
Humanoid robots promise general-purpose assistance, yet real-world humanoid loco-manipulation remains challenging because it requires whole-body stability, end-effector dexterity,…
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…
Integrating Offline Pre-Training with Online Fine-Tuning: A Reinforcement Learning Approach for Robot Social Navigation
Run Su, Hao Fu, Shuai Zhou +1
Offline reinforcement learning (RL) has emerged as a promising framework for addressing robot social navigation challenges. However, inherent uncertainties in pedestrian behavior a…
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…
Spatio-Temporal Transformer-Based Reinforcement Learning for Robot Crowd Navigation
Haodong He, Hao Fu, Qiang Wang +2
The social robot navigation is an open and challenging problem. In existing work, separate modules are used to capture spatial and temporal features, respectively. However, such me…