Navigation Policy

Navigation policy research focuses on enabling autonomous agents, such as robots, to effectively navigate complex environments, often towards specific goals. Current efforts concentrate on improving robustness and efficiency through techniques like deep reinforcement learning, leveraging large language models for instruction following, and employing modular architectures to enhance sim-to-real transfer and handle safety constraints. These advancements are crucial for deploying autonomous systems in real-world scenarios, ranging from indoor object retrieval to multi-robot coordination, and are driving progress in both robotics and artificial intelligence.