3 papers
cs.RO2026
HEFT: Heavy-Payload Full-size Humanoid Teleoperation with Privileged Motion Guidance and Windowed Payload Curriculum
Chenxin Liu, Qingzhou Lu, Guangxiao Yang +4
General motion tracking and teleoperation offer a promising path to scalable humanoid skill acquisition, yet most existing frameworks are validated on compact platforms or without…
cs.RO2025
GentleHumanoid: Learning Upper-body Compliance for Contact-rich Human and Object Interaction
Qingzhou Lu, Yao Feng, Baiyu Shi +3
Humanoid robots are expected to operate in human-centered environments where safe and natural physical interaction is essential. However, most recent reinforcement learning (RL) po…
cs.RO2025
FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots
Botian Xu, Haoyang Weng, Qingzhou Lu +2
Reinforcement learning (RL) has made significant strides in legged robot control, enabling locomotion across diverse terrains and complex loco-manipulation capabilities. However, t…