Peihan Li

According to our database, Peihan Li authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchical LLMs In-the-loop Optimization for Real-time Multi-Robot Target Tracking under Unknown Hazards.

Yuwei Wu, Yuezhan Tao, Peihan Li, Guangyao Shi, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou

CoRR, 2024

Resilient and Adaptive Replanning for Multi-Robot Target Tracking with Sensing and Communication Danger Zones.

Peihan Li, Yuwei Wu, Jiazhen Liu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou

CoRR, 2024

Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation.

Seungyeop Lee, Knut Peterson, Solmaz Arezoomandan, Bill Cai, Peihan Li, Lifeng Zhou, David Han

CoRR, 2024

Multi-Robot Target Tracking with Sensing and Communication Danger Zones.

Jiazhen Li, Peihan Li, Yuwei Wu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou

CoRR, 2024

Challenges Faced by Large Language Models in Solving Multi-Agent Flocking.

Peihan Li, Vishnu Menon, Bhavanaraj Gudiguntla, Daniel Ting, Lifeng Zhou

CoRR, 2024

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network.

Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability.

Peihan Li, Lifeng Zhou

IROS, 2023

Flow-Based Rendezvous and Docking for Marine Modular Robots in Gyre-Like Environments.

Gedaliah Knizhnik, Peihan Li, Mark Yim, M. Ani Hsieh

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms.

Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022

Flow-Based Control of Marine Robots in Gyre-Like Environments.

Gedaliah Knizhnik, Peihan Li, Xi Yu, M. Ani Hsieh

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

A Novel Machine Learning-Assisted Policy Recommendation Method on COVID-19 Vaccination Campaign.

Bolin Song, Xiaoyu Wang, Peihan Li, Peng Sun, Azzedine Boukerche

Proceedings of the 25th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2021

2020

Classification of Wildlife Based on Transfer Learning.

Xihao Wang, Peihan Li, Chengxi Zhu

Proceedings of the ICVIP 2020: The 4th International Conference on Video and Image Processing, 2020