2 papers
cs.RO2024
Safe Reinforcement Learning of Robot Trajectories in the Presence of Moving Obstacles
Jonas Kiemel, Ludovic Righetti, Torsten Kröger +1
In this paper, we present an approach for learning collision-free robot trajectories in the presence of moving obstacles. As a first step, we train a backup policy to generate evas…
cs.RO2024
Planning with Learned Subgoals Selected by Temporal Information
Xi Huang, Gergely Sóti, Christoph Ledermann +2
Path planning in a changing environment is a challenging task in robotics, as moving objects impose time-dependent constraints. Recent planning methods primarily focus on the spati…