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Update research modules and bibliography: reorganize current/past projects, add GitHub support, add award notes, update papers
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_bibliography/papers.bib

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@article{saulnier2022resilient,
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title={Resilient Consensus via Voronoi Communication Graphs},
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author={Saulnier, Kelsey and Zhou, Lifeng and Pappas, George and Kumar, Vijay},
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journal={arXiv},
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@article{li2025large,
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abbr={arXiv},
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title={Large language models for multi-robot systems: A survey},
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author={Li, Peihan and An, Zijian and Abrar, Shams and Zhou, Lifeng},
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arxiv={2502.03814},
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year={Preprint},
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github={https://github.com/Zhourobotics/LLM-MRS-survey}
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}
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@article{li2025llm,
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abbr={arXiv},
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title={LLM-Flock: Decentralized Multi-Robot Flocking via Large Language Models and Influence-Based Consensus},
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author={Li, Peihan and Zhou, Lifeng},
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arxiv={2505.06513},
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year={Preprint},
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arxiv={2209.04381}
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github={https://github.com/Zhourobotics/LLM-Flock},
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video={https://www.youtube.com/watch?v=8zcPYqjWzYo}
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}
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@article{cai2025llm,
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abbr={arXiv},
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title={LLM-Land: Large Language Models for Context-Aware Drone Landing},
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author={Cai, Siwei and Wu, Yuwei and Zhou, Lifeng},
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arxiv={2505.06399},
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year={Preprint},
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video={https://www.youtube.com/watch?v=9yGEpqmCtdA}
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}
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@article{wu2025hierarchical,
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abbr={arXiv},
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title={Hierarchical llms in-the-loop optimization for real-time multi-robot target tracking under unknown hazards},
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author={Wu, Yuwei and Tao, Yuezhan and Li, Peihan and Shi, Guangyao and Sukhatmem, Gaurav S and Kumar, Vijay and Zhou, Lifeng},
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arxiv={2409.12274},
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github={https://github.com/Zhourobotics/hierarchical-llms},
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year={Preprint},
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}
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@article{an2025reinforcement,
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abbr={arXiv},
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title={Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs},
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author={An, Zijian and Zhou, Lifeng},
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arxiv={2505.06319},
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year={Preprint},
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}
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@inproceedings{li2025multi,
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abbr={IROS},
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title={Multi-robot target tracking with sensing and communication danger zones},
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author={Li, Peihan and Liu, Jiazhen and Wu, Yuwei and Sukhatme, Gaurav S and Kumar, Vijay and Zhou, Lifeng},
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booktitle={2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
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arxiv={2404.07880},
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year={2025},
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video={https://youtu.be/0fq7fPuVaEA?si=72nwAjggpbbF6YiT}
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}
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@article{an2025double,
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abbr={T-RO},
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title={Double oracle algorithm for game-theoretic robot allocation on graphs},
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author={An, Zijian and Zhou, Lifeng},
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journal={IEEE Transactions on Robotics},
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year={2025},
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publisher={IEEE},
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html={https://ieeexplore.ieee.org/abstract/document/10989573}
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}
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@inproceedings{chahe2025reasondrive,
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abbr={CVPR},
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title={ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language Models},
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author={Chahe, Amirhosein and Zhou, Lifeng},
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booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
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pages={3870--3879},
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year={2025},
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html={https://openaccess.thecvf.com/content/CVPR2025W/WDFM-AD/html/Chahe_ReasonDrive_Efficient_Visual_Question_Answering_for_Autonomous_Vehicles_with_Reasoning-Enhanced_CVPRW_2025_paper.html},
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github={https://github.com/Zhourobotics/ReasonDrive}
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}
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@inproceedings{chahe2025query3d,
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abbr={WACV},
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title={Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D Gaussians},
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author={Chahe, Amirhosein and Zhou, Lifeng},
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booktitle={Proceedings of the Winter Conference on Applications of Computer Vision},
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pages={1051--1060},
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year={2025},
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html={https://openaccess.thecvf.com/content/WACV2025W/LLVMAD/html/Chahe_Query3D_LLM-Powered_Open-Vocabulary_Scene_Segmentation_with_Language_Embedded_3D_Gaussians_WACVW_2025_paper.html},
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github={https://github.com/Zhourobotics/Query-3DGS-LLM},
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note={Best Paper Award of LLVM-AD Workshop}
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}
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@inproceedings{cai2024energy,
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abbr={ISRR},
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title={Energy-aware routing algorithm for mobile ground-to-air charging},
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author={Cai, Bill and Lu, Fei and Zhou, Lifeng},
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booktitle={2024 IEEE International Symposium of Robotics Research (ISRR)},
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year={2024},
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arxiv={2310.07729},
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video={https://www.youtube.com/watch?v=eYPMPYThhKE}
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}
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@inproceedings{wen2024monte,
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abbr={SSRR},
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title={Monte Carlo Tree Search for Behavior Planning in Autonomous Driving},
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author={Wen, Qianfeng and Gong, Zhongyi and Zhou, Lifeng and Zhang, Zhongshun},
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booktitle={2024 IEEE International Symposium on Safety Security Rescue Robotics (SSRR)},
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pages={117--124},
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year={2024},
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organization={IEEE},
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html={https://ieeexplore.ieee.org/abstract/document/10770028},
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github={https://github.com/zhongshun/MCTS_for_Behavior_Planning}
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}
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@inproceedings{liu2024multi,
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abbr={DARS},
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title={Multi-robot target tracking with sensing and communication danger zones},
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author={Liu, Jiazhen and Li, Peihan and Wu, Yuwei and Sukhatme, Gaurav S and Kumar, Vijay and Zhou, Lifeng},
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booktitle={2024 International Symposium on Distributed Autonomous Robotic Systems (DARS)},
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arxiv={2404.07880},
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year={2024},
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github={https://github.com/Zhourobotics/DZone_Tracking},
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video={https://www.youtube.com/watch?v=uSYPI817Y6c},
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note={Best Paper Award Nominated}
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}
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@inproceedings{li2024challenges,
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abbr={DARS},
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title={Challenges faced by large language models in solving multi-agent flocking},
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author={Li, Peihan and Menon, Vishnu and Gudiguntla, Bhavanaraj and Ting, Daniel and Zhou, Lifeng},
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booktitle={2024 International Symposium on Distributed Autonomous Robotic Systems (DARS)},
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year={2024},
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arxiv={2404.04752},
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github={https://github.com/Zhourobotics/llms-for-flocking-pub},
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video={https://www.youtube.com/watch?v=Oqa_F1TSitc}
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}
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@inproceedings{chahe2024dynamic,
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abbr={RSS},
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title={Dynamic adversarial attacks on autonomous driving systems},
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author={Chahe, Amirhosein and Wang, Chenan and Jeyapratap, Abhishek and Xu, Kaidi and Zhou, Lifeng},
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booktitle={Robotics: Science and Systems (RSS)},
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year={2024},
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html={https://www.roboticsproceedings.org/rss20/p076.pdf},
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github={https://github.com/amirhoseinch/dynamicpatch},
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video={https://www.youtube.com/watch?v=Wh2sPYpWczQ}
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}
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@inproceedings{chen2024learning,
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abbr={ICRA},
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title={Learning decentralized flocking controllers with spatio-temporal graph neural network},
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author={Chen, Siji and Sun, Yanshen and Li, Peihan and Zhou, Lifeng and Lu, Chang-Tien},
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booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA)},
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pages={2596--2602},
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year={2024},
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organization={IEEE},
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html={https://ieeexplore.ieee.org/document/10610627},
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video={https://www.youtube.com/watch?v=Hb7Ofe3IvaA}
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}
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@inproceedings{chen2023spatial,
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abbr={GIS},
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title={Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms},
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author={Chen, Siji and Sun, Yanshen and Li, Peihan and Zhou, Lifeng and Lu, Chang-Tien},
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booktitle={Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems},
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pages={1--4},
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year={2023},
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html={https://dl.acm.org/doi/10.1145/3589132.3625630}
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}
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@inproceedings{chang2023context,
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abbr={CoRL},
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title={Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs},
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author={Chang, Haonan and Boyalakuntla, Kowndinya and Lu, Shiyang and Cai, Siwei and Jing, Eric Pu and Keskar, Shreesh and Geng, Shijie and Abbas, Adeeb and Zhou, Lifeng and Bekris, Kostas and others},
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booktitle={Conference on Robot Learning},
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pages={1950--1974},
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year={2023},
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organization={PMLR},
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html={https://openreview.net/forum?id=cjEI5qXoT0},
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video={https://www.youtube.com/watch?v=U7lRlRDQpK0},
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github={https://github.com/changhaonan/OVSG}
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}
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booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
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journal={arXiv},
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year={2023},
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arxiv={2303.04894},
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html={https://ieeexplore.ieee.org/document/10341514},
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video= {https://www.youtube.com/watch?v=5w5XJefu7sE}
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}
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author={Liu, Xu and Prabhu, Ankit and Cladera, Fernando and Miller, Ian D and Zhou, Lifeng and Taylor, Camillo J and Kumar, Vijay},
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booktitle={2023 International Conference on Robotics and Automation (ICRA)},
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year={2023},
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arxiv={2209.08465},
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html={https://ieeexplore.ieee.org/document/10161564},
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video= {https://www.youtube.com/watch?v=S86SgXi54oU}
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}
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author={Sharma, Vishnu Dutt and Zhou, Lifeng and Tokekar, Pratap},
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booktitle={2023 International Conference on Robotics and Automation (ICRA)},
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year={2023},
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arxiv={2209.09292}
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html={https://ieeexplore.ieee.org/document/10160341}
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}
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author={Zahroof, Rahul and Liu, Jiazhen and Zhou, Lifeng and Kumar, Vijay},
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booktitle={2023 American Control Conference (ACC)},
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year={2023},
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arxiv={2210.03300},
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html={https://ieeexplore.ieee.org/document/10155978},
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video={https://www.youtube.com/watch?v=H7gBGyEb0Lw}
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}
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author={Isik, Murat and Oldland, Matthew and Zhou, Lifeng},
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booktitle={2023 Intelligent Systems Conference},
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year={2023},
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arxiv={2301.07050}
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html={https://link.springer.com/chapter/10.1007/978-3-031-47721-8_14}
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}
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@article{lee2023graph,
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author={Liu, Jiazhen and Zhou, Lifeng and Ramachandran, Ragesh and Sukhatme, Gaurav S and Kumar, Vijay},
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booktitle={2022 International Symposium on Distributed Autonomous Robotic Systems (DARS)},
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year={2022},
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arxiv={2208.02772},
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html={https://link.springer.com/chapter/10.1007/978-3-031-51497-5_29},
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video={https://www.youtube.com/watch?v=AAOKDGqkuz8}
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}
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_config.yml

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query: "@*"
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# Filter out certain bibtex entry keywords used internally from the bib output
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filtered_bibtex_keywords: [abbr, abstract, arxiv, video, bibtex_show, html, pdf, selected, supp, blog, code, poster, slides, website, preview]
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filtered_bibtex_keywords: [abbr, abstract, arxiv, video, bibtex_show, html, pdf, selected, supp, blog, code, github, note, poster, slides, website, preview]
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# Maximum number of authors to be shown, other authors will be visible on hover, leave blank to show all authors
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max_author_limit: 10

_data/phd_students.yml

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degrees: PhD Student
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image: Aref.jpeg
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altimage:
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position: Co-advised with Dr. Nagarajan Kandasamy <br/> Electrical and Computer Engineering, Drexel University, Winter 2025 -
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position: Co-advised with Dr. Nagarajan Kandasamy <br/> Electrical and Computer Engineering, Drexel University, Spring 2025 -
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email:
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website:
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scholar:

_includes/projects_horizontal.html

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<div class="row g-0">
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{%- if project.img -%}
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<div class="card-img col-md-6">
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{% responsive_image_block %}
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path: {{ project.img }}
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alt: "project thumbnail"
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{% endresponsive_image_block %}
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{%- include figure.html
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path=project.img
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alt="project thumbnail" -%}
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</div>
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<div class="col-md-6">
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{%- else -%}

_layouts/bib.html

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</div>
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{%- endif %}
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<!-- Note/Award -->
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{%- if entry.note %}
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<div class="note" style="margin-top: 5px; border-left: none !important; padding-left: 0 !important;">
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<span style="background-color: #dc3545; color: white; padding: 4px 8px; border-radius: 4px; font-size: 0.75em; border: none; margin-left: 0 !important;">{{ entry.note }}</span>
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</div>
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{%- endif %}
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<!-- Links/Buttons -->
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<div class="links">
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{%- if entry.abstract %}
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{%- if entry.code %}
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<a href="{{ entry.code }}" class="btn btn-sm z-depth-0" role="button">Code</a>
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{%- endif %}
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{%- if entry.github %}
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<a href="{{ entry.github }}" class="btn btn-sm z-depth-0" role="button">GitHub</a>
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{%- endif %}
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{%- if entry.video %}
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<a href="{{ entry.video }}" class="btn btn-sm z-depth-0" role="button">Video</a>
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_pages/about.md

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<br>
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<a href= "https://drexel.edu/engineering/academics/departments/electrical-computer-engineering/"> Department of Electrical and Computer Engineering </a> at <a href= "https://drexel.edu/">Drexel University</a><br>
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506 Bossone Research Building, 3120 Market Street, Philadelphia, PA 19104
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506 Bossone Research Building, 3140 Market Street, Philadelphia, PA 19104
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<span style="display: block; margin-bottom: 3em"></span>
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</header>
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</div>

_pages/joinus.md

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We look for talented and highly motivated students who have strong interests and backgrounds in robotics, algorithms, combinatorial optimization, game theory, and machine learning.
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We look for talented and highly motivated students who have strong interests and backgrounds in robotics, algorithms, and foudntional models.
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## PhD students
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Prospective Ph.D. students are welcome from any number of areas including (but not necessarily limited to), multi-robot systems, robotics algorithms, machine learning, combinatorial optimization, game theory, motion planning, simultaneous localization and mapping (SLAM), and model predictive control.
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Prospective Ph.D. students are welcome from any number of areas including (but not necessarily limited to), multi-robot systems, foundation models including large language models (LLMs), vision-language models (VLMs), and vision-language-action models (VLAs), robotics algorithms, motion planning, simultaneous localization and mapping (SLAM), and model predictive control.
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If you are interested in joining the lab, you should apply to the [Drexel ECE PhD program](https://drexel.edu/academics/grad-professional-programs/engineering/electrical-engineering) and mention Dr. Zhou in your SoP. You are encouraged to contact Dr. Zhou via email with the title “Prospective PhD students” and include your CV and a short description of your academic background and research interests.
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_pages/publications.md

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permalink: /publications/
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title: Publications
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description: Publications by categories in reversed chronological order.
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years: [Preprint, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2015]
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years: [Preprint, 2025, 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2015]
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---

_projects/adverallo5.md

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description:
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img: assets/img/advallo.png
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importance: 5
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category: current
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category: past
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To be updated.
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[arXiv:2505.06319](https://arxiv.org/abs/2505.06319): Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs.
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[T-RO](https://ieeexplore.ieee.org/abstract/document/10989573): Double oracle algorithm for game-theoretic robot allocation on graphs.

_projects/airground3.md

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title: Air Ground Collaboration
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title: VLMs for Air Ground Systems
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description:
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img: assets/img/huskydrone.png
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importance: 3
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img: assets/img/airground.jpg
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importance: 2
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category: current
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---
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To be updated.
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[arXiv:2505.06399](https://arxiv.org/abs/2505.06399): LLM-Land: Large Language Models for Context-Aware Drone Landing.
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[arXiv:2310.07729](https://arxiv.org/abs/2310.07729): Energy-aware routing algorithm for mobile ground-to-air charging.

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