Despite recent advances in humanoid locomotion, controllers optimized for command tracking and robustness tend to produce mechanical gaits, whereas controllers tied to human motion data often fail to generalize to commands outside the data distribution. This work introduces a learning framework that balances these comp...
M. Zhang, Dong-Ho Kang, Kevin Bergamin et al.· 0 citations
The ability to efficiently acquire generalized skills from demonstrations and apply them across diverse real-world scenarios is a central challenge in robot manipulation. Unlike conventional robot learning tasks that rely on extensive action demonstrations for single-task performance, zero-shot manipulation demands th...
The proposed XRoboToolKit-T teleoperation system incorporates a tactile-informed force control architecture, designed to ensure both stable and precise force control in contact-rich manipulation during teleoperation, which achieves higher data collection efficiency and improved manipulation stability compared to state-...
Xiwen Dengxiong, Xue-Ting Wang, Ke Jing et al.· 0 citations
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