From Kinematics to Dynamics: Learning to Refine Hybrid Plans for Physically Feasible Execution 事件

From Kinematics to Dynamics: Learning to Refine Hybrid Plans for Physically Feasible Execution arXiv:2604.12474v3 Announce Type: replace-cross Abstract: In many robotic tasks, agents must traverse a sequence of spatial regions to complete a mission. Such problems are inherently mixed discrete-continuous: a high-level action sequence and a physically feasible continuous trajectory. The resulting trajectory and action sequence must also satisfy problem constraints such as deadlines, time windows,