Yuxiao Zhu 🚀

Yuxiao Zhu

(he/him)

Computer Science Junior

Duke Kunshan University

Professional Summary

I’m an undergraduate student majoring computer science at Duke Kunshan University. I am recently collaborating with Prof. Meng Guo (国萌) and his team, especially Dr. Junfeng Chen (陈俊锋) from Peking University. I am a member of Edge Intelligence Lab supervised by Prof. Bing Luo (罗冰).

My research focuses on leveraging large language models (LLMs) to enhance task allocation and online adaptation in heterogeneous multi-robot fleets (e.g., UAVs/UGVs). My work also integrates optimization and search algorithms to improve coordination and communication strategies, especially under intermittent connectivity, limited communication, and unknown environments.

Education

BS Computer Science

DKU

Interests

Large Language Models Reinforcement Learning
Featured Publications
LLMs Meet Formal Methods for Robot Swarms: Reliable, Explainable and Efficient Human-in-the-loop Planning in Unknown Environments featured image

LLMs Meet Formal Methods for Robot Swarms: Reliable, Explainable and Efficient Human-in-the-loop Planning in Unknown Environments

We propose a formal method and LLM framework for coordinating large fleets of heterogeneous robots in open and dynamic environments. Our approach integrates model-checking-based …

avatar
Junfeng Chen
DEXTER-LLM: Dynamic and Explainable Coordination of Multi-Robot Systems in Unknown Environments via Large Language Models featured image

DEXTER-LLM: Dynamic and Explainable Coordination of Multi-Robot Systems in Unknown Environments via Large Language Models

We propose DEXTER-LLM, a novel framework for dynamic task planning in unknown environments. Our approach integrates LLM-based multi-stage reasoning, optimization-based task …

avatar
Yuxiao Zhu
CoCoPlan: Adaptive Coordination and Communication for Multi-robot Systems in Dynamic and Unknown Environments featured image

CoCoPlan: Adaptive Coordination and Communication for Multi-robot Systems in Dynamic and Unknown Environments

We propose CoCoPlan, a unified framework that co-optimizes collaborative task planning and intermittent communication for multi-robot systems. Our approach integrates the …

avatar
Xintong Zhang
SLEI3D: Simultaneous Exploration and Inspection via Heterogeneous Fleets under Limited Communication featured image

SLEI3D: Simultaneous Exploration and Inspection via Heterogeneous Fleets under Limited Communication

We propose SLEI3D, a planning and coordination framework for heterogeneous multi-robot systems to perform simultaneous 3D exploration, inspection, and real-time reporting in …

avatar
Junfeng Chen
Recent Publications
(2025). LLMs Meet Formal Methods for Robot Swarms: Reliable, Explainable and Efficient Human-in-the-loop Planning in Unknown Environments. In Science Robotics.
(2025). DEXTER-LLM: Dynamic and Explainable Coordination of Multi-Robot Systems in Unknown Environments via Large Language Models. In IROS 2025.
(2025). CoCoPlan: Adaptive Coordination and Communication for Multi-robot Systems in Dynamic and Unknown Environments. In IEEE Robotics and Automation Letters (RA-L).
(2025). SLEI3D: Simultaneous Exploration and Inspection via Heterogeneous Fleets under Limited Communication. In IEEE Transactions on Automation Science and Engineering (T-ASE).
Recent & Upcoming Talks
DEXTER-LLM: Dynamic and Explainable Coordination of Multi-Robot Systems in Unknown Environments Via Large Language Models featured image

DEXTER-LLM: Dynamic and Explainable Coordination of Multi-Robot Systems in Unknown Environments Via Large Language Models

We propose DEXTER-LLM, a novel framework for dynamic task planning in unknown environments. Our approach integrates LLM-based multi-stage reasoning, optimization-based task …

avatar
Yuxiao Zhu