arXiv Robotics research summaries for January 20, 2024.

Today's Research Themes (AI-Generated):

• Exploring deep reinforcement learning for obstacle-aware navigation in soft growing robots, showing promise for confined environments.

• Analyzing the trade-offs in model fidelity levels to support system-level autonomy for deep space exploration missions.

• Introducing a novel Back-stepping Experience Replay method to improve the efficiency of reinforcement learning in soft snake robots.

• Proposing an advanced multi-agent learning approach for AUV formation control and obstacle avoidance without needing optimal initial demonstrations.

• Addressing the challenges of modeling and simulation for system-level spacecraft autonomy in complex, remote space environments.