16 citations · 21 across the 13 of their papers we have counts for
Showing cs.ROShow all
3 papers · 1 filter
cs.RO2025
HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba
Yinuo Wang, Yuanyang Qi, Jinzhao Zhou +2
End-to-end reinforcement learning (RL) for humanoid locomotion is appealing for its compact perception-action mapping, yet practical policies often suffer from training instability…
cs.RO2024★ 1 cited
E2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework
Yiqun Duan, Qiang Zhang, Jinzhao Zhou +9
Recent advancements in humanoid robotics, including the integration of hierarchical reinforcement learning-based control and the utilization of LLM planning, have significantly enh…
cs.RO2024
Enhancing End-to-End Autonomous Driving Systems Through Synchronized Human Behavior Data
Yiqun Duan, Zhuoli Zhuang, Jinzhao Zhou +3
This paper presents a pioneering exploration into the integration of fine-grained human supervision within the autonomous driving domain to enhance system performance. The current…