Huanyu Yang — accepted AI-conference papers

2025

Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planning

Xinrui Lin, Yangfan Wu, Huanyu Yang, Yuting Huang, Yu Zhang, Jianmin Ji +1

IJCAI 2025

Answer Set Programming (ASP) planning can be used to refine the rough solutions generated by Large Language Models (LLMs) to handle specific restrictions of actions, i.e., reconstruct the rough solutions to be executable, for robotic task planning. However, it is still challenging to efficiently sol

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2024

LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance

Wenhao Yu, Jie Peng, Huanyu Yang, Junrui Zhang, Yifan Duan, Jianmin Ji +1

IROS 2024poster

The conditional diffusion model has been demonstrated as an efficient tool for learning robot policies, owing to its advancement to accurately model the conditional distribution of policies. The intricate nature of real-world scenarios, characterized by dynamic obstacles and maze-like structures, un…

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