10 papers · 1 filter
Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots
Yulai Zhang, Yinrong Zhang, Ting Wu +1
Developing bipedal football robots in dynamiccombat environments presents challenges related to motionstability and deep coupling of multiple tasks, as well ascontrol switching iss…
Multi-Gait Learning for Humanoid Robots Using Reinforcement Learning with Selective Adversarial Motion Prior
Yuanye Wu, Keyi Wang, Linqi Ye +1
Learning diverse locomotion skills for humanoid robots in a unified reinforcement learning framework remains challenging due to the conflicting requirements of stability and dynami…
A Rapid Deployment Pipeline for Autonomous Humanoid Grasping Based on Foundation Models
Yifei Yan, Yankai Liao, Linqi Ye
Deploying a humanoid robot to manipulate a new object has traditionally required one to two days of effort: data collection, manual annotation, 3D model acquisition, and model trai…
Web-Gewu: A Browser-Based Interactive Playground for Robot Reinforcement Learning
Kaixuan Chen, Linqi Ye
With the rapid development of embodied intelligence, robotics education faces a dual challenge: high computational barriers and cumbersome environment configuration. Existing centr…
Leveraging VR Robot Games to Facilitate Data Collection for Embodied Intelligence Tasks
Yihan Zhang, Ziyun Huang, Linqi Ye
Collecting embodied interaction data at scale remains costly and difficult due to the limited accessibility of conventional interfaces. We present a gamified data collection framew…
Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robots
Yifei Yan, Linqi Ye
As reinforcement learning for humanoid robots evolves from single-task to multi-skill paradigms, efficiently expanding new skills while avoiding catastrophic forgetting has become…