Zimeng Tan

Adaptive Trajectory Learning With Obstacle Awareness for Motion Planning

In motion planning, efficiently navigating from a start state to a goal state in spaces with narrow passages remains a significant challenge. Recently, learning-based methods have attracted considerable attention owing to their higher inference speeds compared to traditional approaches. However, the