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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 learning safe and agile quadruped navigation in densely cluttered environments remains difficult: existing methods often lack safety and agility, or become conservative…
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…