Empowering Large Language Models for Robotic Manipulation through Affordance Prompting

Large language models (LLMs) can serve as both high-level sub-task planners and low-level motion controllers for robotic manipulation tasks by leveraging their commonsense knowledge and reasoning capabilities through affordance prompting.