7 citations · 7 across the 3 of their papers we have counts for
4 papers
SplineWAM: Adaptive Action Horizons for World Action Models via B-Spline Representations
Jun Guo, Xiaoshen Han, Qiwei Li +7
World action models (WAMs) are large embodied policies that jointly predict future video and the actions to execute, emitting a fixed-length action chunk per inference call. Such a…
Dissecting Advantage-Guided Post-Training for Vision-Language-Action Policies
Jiahang Cao, Hanye Zhao, Hang Lai +10
Advantage-guided reinforcement learning provides a practical way to post-train vision-language-action (VLA) policies using limited robot data. However, its performance depends on s…
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model
Xinghang Li, Jun Guo, Qiwei Li +21
Recent foundation image and video generation models offer strong generalization and controllability, but their direct application to embodied scenarios is limited by requirements f…
Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios
Xinyuan Wu, Wentao Dong, Hang Lai +2
Quadruped robots have strong adaptability to extreme environments but may also experience faults. Once these faults occur, robots must be repaired before returning to the task, red…