Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning

NeurIPSSpotlight2025

Authors
Sanghyun Ahn, Wonje Choi, Junyong Lee, Jinwoo Park, Honguk Woo
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Recent advances in large language models (LLMs) have enabled the automatic generation of executable code for task planning and control in embodied agents such as robots, demonstrating the potential of…

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Topics

large language model language model planning control agent llm

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