arXiv cs.LG
· Papers
Self-Supervised Bio-Inspired Robotic Trajectory Planning with Obstacle Avoidance
arXiv:2607.20743v1 Announce Type: cross Abstract: Trajectory planning is a fundamental problem in robotics, requiring the generation of collision-free and efficient trajectories in a potentially complex environment. While sampling-based planners remain the dominant approach, they are often computationally expensive, pa