Animal demonstrations provide quadruped robots with natural and distinctive gait styles that are difficult to specify through hand-crafted rewards. However, their narrow directional coverage leaves little style-consistent supervision for backward, lateral, and turning commands. We present OmniMimic, a training framewor...
Sheng Wu, Guo-Qiang Zhao, Zhe Yang et al.· 0 citations
TONAV is presented, a unified framework integrating task-oriented navigation with action-velocity chunk learning that achieves higher success rates in both task-oriented navigation and complete mobile manipulation, mitigating the navigation-manipulation gap and improving continuous-contact interaction.
Hao-Ran Lin, Mingyu Yang, Peng-Fei Qi et al.· 0 citations
Quadruped mobile manipulation requires two tightly coupled capabilities: reaching manipulation-ready configurations and maintaining stable contact throughout articulated-object interaction. However, existing methods often terminate navigation near the target, leaving a gap between reachability and manipulation readines...
Haoran Lin, Ming Yang, Pengfei Qi et al.· 0 citations
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