Robot Planning

Robot planning focuses on enabling robots to autonomously generate and execute sequences of actions to achieve complex goals. Current research emphasizes improving the robustness and efficiency of planning algorithms, particularly in dynamic and uncertain environments, using techniques like hierarchical planning, large language models (LLMs) integrated with classical planners, and diffusion models guided by safety constraints. These advancements are crucial for deploying robots in real-world settings, improving their adaptability, and enabling more sophisticated human-robot interaction.