3 papers
cs.RO2026
SigLoMa: Learning Open-World Quadrupedal Loco-Manipulation from Ego-Centric Vision
Shiyi Chen, Haiyi Liu, Mingye Yang +2
Designing an open-world quadrupedal loco-manipulation system is highly challenging. Traditional reinforcement learning frameworks utilizing exteroception often suffer from extreme…
cs.RO2026
SEA-Nav: Efficient Policy Learning for Safe and Agile Quadruped Navigation in Cluttered Environments
Shiyi Chen, Mingye Yang, Haiyan Mao +6
Efficiently training quadruped robot navigation in densely cluttered environments remains a significant challenge. Existing methods are either limited by a lack of safety and agili…
cs.RO2024
SLR: Learning Quadruped Locomotion without Privileged Information
Shiyi Chen, Zeyu Wan, Shiyang Yan +5
The recent mainstream reinforcement learning control for quadruped robots often relies on privileged information, demanding meticulous selection and precise estimation, thereby imp…