ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning
Zhehua Zhou,Jiayang Song,Kunpeng Yao,Zhan Shu,Lei Ma,Zhehua Zhou,Jiayang Song,Kunpeng Yao,Zhan Shu,Lei Ma
Motivated by the substantial achievements of Large Language Models (LLMs) in the field of natural language processing, recent research has commenced investigations into the application of LLMs for complex, long-horizon sequential task planning challenges in robotics. LLMs are advantageous in offering the potential to enhance the generalizability as task-agnostic planners and facilitate flexible in...
