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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
General Humanoid Whole-Body Control via Pretraining and Fast Adaptation
Zepeng Wang, Jiangxing Wang, Shiqing Yao +8
Learning a general whole-body controller for humanoid robots remains challenging due to the diversity of motion distributions, the difficulty of fast adaptation, and the need for r…