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 interests focus on adaptive coordination and communication in multi-robot systems, particularly under challenging conditions such as intermittent connectivity, limited communication, and unknown environments. I specialize in developing frameworks that optimize task planning, dynamic allocation, and communication strategies for heterogeneous robotic fleets (e.g., UAVs/UGVs) using LLM, optimization, and tree-search algorithms. My work emphasizes creating robust, scalable, and explainable solutions for real-world applications, including large-scale 3D exploration, inspection, and interaction. Through high-fidelity simulations and innovative algorithmic designs, I aim to address practical challenges in dynamic scenarios while ensuring reliable system performance.
🔥 News
- 2025.06: 🎉🎉 One papaer is accepted by IROS 2025.
📝 Publications
Junfeng Chen, Yuxiao Zhu, An Zhuo, Xintong Zhang, Shuo Zhang, Meng Guo, and Zhongkui Li.
- 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 task planning with LLM-powered reasoning and interaction, ensuring adaptability, explainability, and optimal mission execution. Validated through simulations and real-world deployments, it proves effective for disaster response, infrastructure inspection, and dynamic surveillance.
Xintong Zhang, Junfeng Chen, Yuxiao Zhu, Bing Luo，and Meng Guo
- We propose CoCoPlan, a unified framework that co-optimizes collaborative task planning and intermittent communication for multi-robot systems. Our approach integrates the branch-and-bound task encoding, adaptive efficiency objectives, and optimized event scheduling to handle dynamic environments under limited connectivity in both office and disaster-response scenarios.
SLEI3D: Simultaneous Exploration and Inspection via Heterogeneous Fleets under Limited Communication
Junfeng Chen, Yuxiao Zhu, Xintong Zhang, Bing Luo，and Meng Guo
- We propose SLEI3D, a planning and coordination framework for heterogeneous multi-robot systems to perform simultaneous 3D exploration, inspection, and real-time reporting in unknown environments. Our approach integrates adaptive inspection and intermittent communication protocols with a multi-layer, multi-rate planning mechanism for robust coordination.
Yuxiao Zhu, Junfeng Chen, Xintong Zhang, Meng Guo, Zhongkui Li
- 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 assignment, and adaptive human-in-the-loop verification to tackle the challenges of online adaptability and explainability.
📖 Educations
- 2023.08 - 2025.11 (now), Undergraduate, Duke Kunshan University, Suzhou
- 2020.09 - 2023.06, Taicang Senior High School of Jiangsu Province, Suzhou