Zhan Shu — accepted AI-conference papers

2024

ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning

Zhehua Zhou, Jiayang Song, Kunpeng Yao, Zhan Shu, Lei Ma

ICRA 2024poster

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 offerin…

Cited by 73 Source ↗code ↗Scholar ↗

2023

Learning Optimal Topology for Ad-Hoc Robot Networks

Matin Macktoobian, Zhan Shu, Qing Zhao

RA-L 2023

In this letter, we synthesize a data-driven method to predict the optimal topology of an ad-hoc robot network. This problem is technically a multi-task classification problem. However, we divide it into a class of multi-class classification problems that can be more efficiently solved. For this purp

Cited by 4 Source ↗Scholar ↗