Language Guided Manipulation

Language-guided manipulation focuses on enabling robots to perform tasks based on natural language instructions, aiming to bridge the gap between human communication and robotic action. Current research emphasizes robust 3D scene understanding using point clouds and implicit/explicit scene representations, often incorporating large language models (LLMs) and vision-language models (VLMs) to interpret instructions and plan actions, with diffusion models and attention mechanisms playing key roles in policy learning. This field is significant for advancing robot autonomy and generalizability, impacting areas like home robotics and industrial automation by enabling more flexible and intuitive robot control.