Robot Learning and LLM-Based Action Planning

Mon, 01 Jan 2024 00:00:00 +0000

Research on autonomous action planning and motion generation for robots using imitation learning, reinforcement learning, and Large Language Models (LLMs). We develop state-of-the-art methods including multi-robot task planning combining LLMs and linear programming (LiP-LLM), affordance-centric diffusion policies (TARAD), and humanoid locomotion (LocoGPT).

Large Language Models | Takato Horii | Osaka University

Robot Learning and LLM-Based Action Planning