Publications     [Google Scholar]

Preprints

  1. L. Zhou and V. Kumar, “Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks,” T-RO submitted. [arXiv]

  2. L. Zhou, V. D. Sharma, Q. Li, A. Prorok, A. Ribeiro, and V. Kumar, “Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection”, RA-L+ICRA'22 submitted. [arXiv]

  3. G. Shi, L. Zhou, and P. Tokekar, “Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks,” T-RO revision submitted. [arXiv]

  4. Z. Zhang, L. Zhou, and P. Tokekar, “Strategies to Inject Spoofed Measurement Data,” RAS submitted. [arXiv]

Journal Papers

  1. L. Zhou, V. Tzoumas, G. J. Pappas, and P. Tokekar, “Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning,” IEEE Transactions on Robotics (T-RO). Note: accepted. [arXiv]

  2. S. Mayya, R. K. Ramachandran, L. Zhou, G. S. Sukhatme, and V. Kumar, “Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams,” IEEE Robotics and Automation Letters (RA-L). Note: also selected for presentation at ICRA'22. [arXiv]

  3. L. Zhou and P. Tokekar, “Risk-Aware Submodular Optimization for Multi-Robot Coordination,” IEEE Transactions on Robotics (T-RO). Note: accepted. [arXiv]

  4. J. Liu, L. Zhou, P. Tokekar, and R. K. Williams, “Distributed Resilient Submodular Action Selection in Adversarial Environments,” IEEE Robotics and Automation Letters (RA-L). [PDF]

  5. L. Zhou and P. Tokekar, “Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments,” Current Robotics Reports, Springer. Note: invited paper. [arXiv]

  6. Z. Zhang, J.Lee, JM Smereka, L. Zhou, Y. Sung, and P. Tokekar, “Game Tree Search for Minimizing Detectability and Maximizing Visibility,” Autonomous Robots (AURO).

  7. L. Zhou and P. Tokekar, “Sensor Assignment Algorithms to Improve Observability while Tracking Targets,” IEEE Transactions on Robotics (T-RO), 35(5), pp. 1206-1219, 2019. Note: also selected for presentation at ICRA'20. [arXiv] [BibTex] [Video]

  8. @Article{zhou2019sensor,
    author = {Lifeng Zhou and Pratap Tokekar},
    title = {Sensor Assignment Algorithms to Improve Observability while Tracking Targets},
    journal = {IEEE Transactions on Robotics},
    year = {2019},
    }
    
  9. L. Zhou, V. Tzoumas, G. J. Pappas, and P. Tokekar, “Resilient Active Target Tracking with Multiple Robots,” IEEE Robotics and Automation Letters (RA-L), 4(1): pp. 129-136, 2019. Note: also selected for presentation at ICRA'19. [arXiv] [BibTex] [Digest Slides] [Poster] [Video]

  10. @article{zhou2019resilient,
      title={Resilient Active Target Tracking With Multiple Robots},
      author={Zhou, Lifeng and Tzoumas, Vasileios and Pappas, George J, and Tokekar, Pratap},
      journal={IEEE Robotics and Automation Letters},
      volume={4},
      number={1},
      pages={129--136},
      year={2019},
      publisher={IEEE}
    }
    
  11. L. Zhou and P. Tokekar, “Active Target Tracking with Self-Triggered Communications in Multi-Robot Teams,” IEEE Transactions on Automation Science and Engineering (T-ASE), 16(3): pp. 1085-1096, 2019. [arXiv] [BibTex] [Video]

  12. @article{zhou2018active,
      title={Active target tracking with self-triggered communications in multi-robot teams},
      author={Zhou, Lifeng and Tokekar, Pratap},
      journal={IEEE Transactions on Automation Science and Engineering},
      number={99},
      pages={1--12},
      year={2018},
      publisher={IEEE}
    }
    
  13. L. Zhou and S. Li, “Distributed model predictive control for multi-agent flocking via neighbor screening optimization,” International Journal of Robust and Nonlinear Control (IJRNC), 27(9): pp. 1690-705, 2017. [PDF] [BibTex]

  14. @article{zhou2017distributed,
      title={Distributed model predictive control for multi-agent flocking via neighbor screening optimization},
      author={Zhou, Lifeng and Li, Shaoyuan},
      journal={International Journal of Robust and Nonlinear Control},
      volume={27},
      number={9},
      pages={1690--1705},
      year={2017},
      publisher={Wiley Online Library}
    }
    
  15. L. Zhou and S. Li, “Distributed model predictive control for consensus of sampled-data multi-agent systems with double-integrator dynamics,” IET Control Theory & Applications (IET), 9(12): pp. 1774-80, 2015. [PDF] [BibTex]

  16. @article{zhou2015distributed,
      title={Distributed model predictive control for consensus of sampled-data multi-agent systems with double-integrator dynamics},
      author={Zhou, Lifeng and Li, Shaoyuan},
      journal={IET Control Theory & Applications},
      volume={9},
      number={12},
      pages={1774--1780},
      year={2015},
      publisher={IET}
    }
    
  17. L. Peng, A. Shen, N. Zhang, and L. Zhou, “Application of Industrial Embedded System Upgrade Technology Based on Wireless IAP,” Instrument Technique & Sensor, No. 12, 2013. [PDF]

Conference Papers

  1. L. Zhou and V. Kumar, “Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks,” The 2022 American Control Conference (ACC'22). Note: invited paper. [arXiv]

  2. R. Balasubramanian, L. Zhou, P. Tokekar and P.B. Sujit, “Risk-Aware Submodular Optimization for Stochastic Travelling Salesperson Problem,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'21). [arXiv]

  3. G. Shi, I. E. Rabban L. Zhou, and P. Tokekar, “Communication-Aware Multi-robot Coordination with Submodular Maximization,” IEEE International Conference on Robotics and Automation (ICRA'21). [arXiv]

  4. V. D. Sharma*, M. Toubeh*, L. Zhou*, and P. Tokekar, “Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'20). [arXiv]

  5. R. K. Ramachandran, L. Zhou, J. A. Preiss, and G. S. Sukhatme, “Resilient Coverage: Exploring the Local-to-Global Trade-off,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'20). [arXiv]

  6. G. Shi, L. Zhou, and P. Tokekar, “Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks,” Robotics: Science and Systems (RSS'20). [arXiv]

  7. L. Zhou, V. Tzoumas, G. J. Pappas, and P. Tokekar, “Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning ,” IEEE International Conference on Robotics and Automation (ICRA'20). [arXiv] [Video]

  8. L. Zhou and P. Tokekar, “An Approximation Algorithm for Distributed Resilient Submodular Maximization,” The 2nd International Symposium on Multi-Robot and Multi-Agent Systems (MRS), New Brunswick, USA, 2019. Note: published as an extended abstract. [PDF] [Video]

  9. Z. Zhang, J.Lee, JM Smereka, Y. Sung, L. Zhou, and P. Tokekar, “Tree Search Techniques for Minimizing Detectability and Maximizing Visibility,” IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, 2019. [arXiv] [BibTex] [Poster]

  10. @InProceedings{zhang2019tree,
      author = {Zhongshun Zhang and Joseph Lee and Jonathon Smereka and Yoonchang Sung and Lifeng Zhou and Pratap Tokekar},
      title = {Tree Search Techniques for Minimizing Detectability and Maximizing Visibility},
      booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
      year = {2019},
    }
    
  11. L. Zhou and P. Tokekar, “An Approximation Algorithm for Risk-averse Submodular Optimization,” Workshop on the Algorithmic Foundations of Robotics (WAFR), Merida, Mexico, 2018. (In Press). [arXiv] [BibTex] [Slides]

  12. @InProceedings{zhou2018approximation,
      author = {Lifeng Zhou and Pratap Tokekar},
      title = {An Approximation Algorithm for Risk-averse Submodular Optimization},
      booktitle = {Workshop on the Algorithmic Foundations of Robotics (WAFR)},
      year = {2018},
      note = {to appear},
    }
    
  13. Z. Zhang, L. Zhou, and P. Tokekar, “Strategies to Design Signals to Spoof Kalman Filter,” IEEE American Control Conference (ACC), Milwaukee, USA, 2018. [arXiv] [BibTex]

  14. @inproceedings{zhang2018strategies,
      title={Strategies to design signals to spoof Kalman filter},
      author={Zhang, Zhongshun and Zhou, Lifeng and Tokekar, Pratap},
      booktitle={2018 Annual American Control Conference (ACC)},
      pages={5837--5842},
      year={2018},
      organization={IEEE}
    }
    
  15. L. Zhou and P. Tokekar, “Active Target Tracking with Self-Triggered Communications,” IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017. [arXiv] [BibTex] [Slides] [Digest Slides] [Interactive Slides] [Video]

  16. @inproceedings{zhou2017active,
      title={Active target tracking with self-triggered communications},
      author={Zhou, Lifeng and Tokekar, Pratap},
      booktitle={2017 IEEE International Conference on Robotics and Automation (ICRA)},
      pages={2117--2123},
      year={2017},
      organization={IEEE}
    }
    
  17. L. Zhou and S. Li, “Cooperative control of linear systems with coupled constraints via distributed model predictive control,” IEEE Chinese Control Conference (CCC), Hangzhou, China, 2015. [PDF] [BibTex] [Slides]

  18. @inproceedings{zhou2015cooperative,
      title={Cooperative control of linear systems with coupled constraints via distributed model predictive control},
      author={Zhou, Lifeng and Li, Shaoyuan},
      booktitle={2015 34th Chinese Control Conference (CCC)},
      pages={7569--7574},
      year={2015},
      organization={IEEE}
    }
    

Workshop Papers

  1. G. Shi, L. Zhou, and P. Tokekar, “Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks,” IEEE International Conference on Robotics and Automation (ICRA) Workshop on Multi-Robot Coordination under Uncertainty and Adversarial Attacks, 2020. [arXiv]

  2. L. Zhou and P. Tokekar, “An Approximation Algorithm for Distributed Resilient Submodular Maximization,” IEEE International Conference on Robotics and Automation Workshop on Resilient Robot Teams: Composing, Acting, and Learning (ICRA), Montreal, Canada, 2019. [PDF] [Slides] [Poster] [Video]

  3. L. Zhou and P. Tokekar, “A Lower Bound on Observability for Target Tracking with Range Sensors and its Application to Sensor Assignment,” IEEE International Conference on Robotics and Automation Workshop on Multi-robot Perception-driven Control and Planning (ICRA), Singapore, 2017. [PDF] [Slides] [Poster]

Posters and Presentations

  1. L. Zhou and P. Tokekar, “Sensor Assignment Algorithms to Improve Observability while Tracking Targets,” IEEE International Conference on Robotics and Automation (ICRA), 2020.

  2. L. Zhou, V. Tzoumas, G. J. Pappas, and P. Tokekar, “Resilient Active Target Tracking with Multiple Robots,” IEEE International Conference on Robotics and Automation (ICRA), 2019.

  3. L. Zhou and P. Tokekar, “Attack-Resilient Submodular Maximization for Multi-Robot Planning,” Southeast Controls Conference, 2019.

  4. M. Toubeh*, L. Zhou*, and P. Tokekar, “Risk-Aware Path Planning and Assignment with Uncertainty Extraction from Deep Learning,” Northeast Robotics Colloquium (NERC), 2019. [PDF]

Thesis Publications

  1. L. Zhou, “Parsimonious, Risk-Aware, and Resilient Multi-Robot Coordination,” Ph.D. thesis, Virginia Tech, USA, 2020.

  2. L. Zhou, “Distributed Model Predictive Control for Consensus of Multi-Agent Systems,” M.S. thesis, Shanghai Jiao Tong University, China, 2016.