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ORCIDLifeng Zhou 0001
Person information
- affiliation: Drexel University, Department of Electrical and Computer Engineering, Philadelphia, PA, USA
- affiliation: University of Pennsylvania, GRASP lab, PA, USA
- affiliation (PhD 2020): Virginia Tech, Department of electrical and computer engineering, Blacksburg, VA, USA
Other persons with the same name
- Lifeng Zhou — disambiguation page
- Lifeng Zhou 0002
![[0000-0001-7038-0967]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7038-0967")
— Changsha University, School of Economics and Management, China (and 1 more) - Lifeng Zhou 0003 — Yidun AI Lab, Netease, Hangzhou, China
- Lifeng Zhou 0004 — University of Illinois at Urbana-Champaign, Carl R. Woese Institute for Genomic Biology, IL, USA
- Lifeng Zhou 0005 (aka: LiFeng Zhou 0005) — National University of Singapore, School of Computing, Network Systems and Services Lab, Singapore
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2020 – today
- 2025
[j11]Zijian An, Lifeng Zhou:
Double Oracle Algorithm for Game-Theoretic Robot Allocation on Graphs. IEEE Trans. Robotics 41: 3244-3259 (2025)- [c21]Amirhosein Chahe, Lifeng Zhou:
Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D Gaussians. WACV (Workshops) 2025: 961-970 - [i41]Peihan Li, Zijian An, Shams Abrar, Lifeng Zhou:
Large Language Models for Multi-Robot Systems: A Survey. CoRR abs/2502.03814 (2025) - [i40]Zijian An, Lifeng Zhou:
Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs. CoRR abs/2505.06319 (2025) - [i39]Peihan Li, Lifeng Zhou:
LLM-Flock: Decentralized Multi-Robot Flocking via Large Language Models and Influence-Based Consensus. CoRR abs/2505.06513 (2025) - [i38]Peihan Li, Jiazhen Liu, Yuwei Wu, Lifeng Zhou:
Failure-Aware Multi-Robot Coordination for Resilient and Adaptive Target Tracking. CoRR abs/2508.02529 (2025) - [i37]Ran Yang, Zijian An, Lifeng Zhou, Yiming Feng:
SeqVLA: Sequential Task Execution for Long-Horizon Manipulation with Completion-Aware Vision-Language-Action Model. CoRR abs/2509.14138 (2025) - [i36]Zijian An, Ran Yang, Yiming Feng, Lifeng Zhou:
CLAW: A Vision-Language-Action Framework for Weight-Aware Robotic Grasping. CoRR abs/2509.14143 (2025) - [i35]Muyu He, Yuxi Zheng, Yuchen Liu, Zijian An, Bill Cai, Jiani Huang, Lifeng Zhou, Feng Liu, Ziyang Li, Li Zhang:
Vision Language Models Cannot Plan, but Can They Formalize? CoRR abs/2509.21576 (2025) - 2024
- [c20]Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu:
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. ICRA 2024: 2596-2602 - [i34]Peihan Li, Vishnu Menon, Bhavanaraj Gudiguntla, Daniel Ting, Lifeng Zhou:
Challenges Faced by Large Language Models in Solving Multi-Agent Flocking. CoRR abs/2404.04752 (2024) - [i33]Jiazhen Li, Peihan Li, Yuwei Wu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou:
Multi-Robot Target Tracking with Sensing and Communication Danger Zones. CoRR abs/2404.07880 (2024) - [i32]Seungyeop Lee, Knut Peterson, Solmaz Arezoomandan, Bill Cai, Peihan Li, Lifeng Zhou, David K. Han:
Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation. CoRR abs/2405.01113 (2024) - [i31]Peihan Li, Yuwei Wu, Jiazhen Liu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou:
Resilient and Adaptive Replanning for Multi-Robot Target Tracking with Sensing and Communication Danger Zones. CoRR abs/2409.11230 (2024) - [i30]Yuwei Wu, Yuezhan Tao, Peihan Li, Guangyao Shi, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou:
Hierarchical LLMs In-the-loop Optimization for Real-time Multi-Robot Target Tracking under Unknown Hazards. CoRR abs/2409.12274 (2024) - 2023
- [j10]Lifeng Zhou, Vijay Kumar:
Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks. IEEE Trans. Robotics 39(3): 1768-1780 (2023) - [j9]Guangyao Shi, Lifeng Zhou, Pratap Tokekar:
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. IEEE Trans. Robotics 39(3): 2060-2077 (2023) - [c19]Rahul Zahroof, Jiazhen Liu, Lifeng Zhou, Vijay Kumar:
Multi-Robot Localization and Target Tracking with Connectivity Maintenance and Collision Avoidance. ACC 2023: 1331-1338 - [c18]Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu:
Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms. SIGSPATIAL/GIS 2023: 80:1-80:4 - [c17]Xu Liu, Ankit Prabhu, Fernando Cladera Ojeda, Ian D. Miller, Lifeng Zhou, Camillo J. Taylor, Vijay Kumar:
Active Metric-Semantic Mapping by Multiple Aerial Robots. ICRA 2023: 3282-3288 - [c16]Vishnu Dutt Sharma, Lifeng Zhou, Pratap Tokekar:
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage. ICRA 2023: 3425-3431 - [c15]Peihan Li, Lifeng Zhou:
Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability. IROS 2023: 11035-11041 - [i29]Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense. CoRR abs/2301.09689 (2023) - [i28]Peihan Li, Lifeng Zhou:
Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability. CoRR abs/2303.04894 (2023) - [i27]Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu:
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. CoRR abs/2309.17437 (2023) - [i26]Zijian An, Lifeng Zhou:
Double Oracle Algorithm for Game-Theoretic Robot Allocation on Graphs. CoRR abs/2312.11791 (2023) - 2022
- [j8]Siddharth Mayya, Ragesh K. Ramachandran, Lifeng Zhou, Vinay Senthil, Dinesh Thakur, Gaurav S. Sukhatme, Vijay Kumar:
Adaptive and Risk-Aware Target Tracking for Robot Teams With Heterogeneous Sensors. IEEE Robotics Autom. Lett. 7(2): 5615-5622 (2022) - [j7]Lifeng Zhou, Pratap Tokekar:
Risk-Aware Submodular Optimization for Multirobot Coordination. IEEE Trans. Robotics 38(5): 3064-3084 (2022) - [j6]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multirobot Planning. IEEE Trans. Robotics 38(5): 3097-3112 (2022) - [c14]Lifeng Zhou, Vijay Kumar:
Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks. ACC 2022: 4443-4450 - [c13]Jiazhen Liu, Lifeng Zhou, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Vijay Kumar:
Decentralized Risk-Aware Tracking of Multiple Targets. DARS 2022: 408-423 - [c12]Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Pratap Tokekar, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Robot Target Tracking. SSRR 2022: 195-202 - [i25]Jiazhen Liu, Lifeng Zhou, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Vijay Kumar:
Decentralized Risk-Aware Tracking of Multiple Targets. CoRR abs/2208.02772 (2022) - [i24]Kelsey Saulnier, Lifeng Zhou, George J. Pappas, Vijay Kumar:
Resilient Consensus via Voronoi Communication Graphs. CoRR abs/2209.04381 (2022) - [i23]Xu Liu, Ankit Prabhu, Fernando Cladera Ojeda, Ian D. Miller, Lifeng Zhou, Camillo J. Taylor, Vijay Kumar:
Active Metric-Semantic Mapping by Multiple Aerial Robots. CoRR abs/2209.08465 (2022) - [i22]Vishnu Dutt Sharma, Lifeng Zhou, Pratap Tokekar:
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage. CoRR abs/2209.09292 (2022) - [i21]Rahul Zahroof, Jiazhen Liu, Lifeng Zhou, Vijay Kumar:
Multi-Robot Localization and Target Tracking with Connectivity Maintenance and Collision Avoidance. CoRR abs/2210.03300 (2022) - [i20]Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar:
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks. CoRR abs/2211.01757 (2022) - 2021
- [j5]Zhongshun Zhang, Jonathon M. Smereka, Joseph Lee, Lifeng Zhou, Yoonchang Sung, Pratap Tokekar:
Game tree search for minimizing detectability and maximizing visibility. Auton. Robots 45(2): 283-297 (2021) - [j4]Jun Liu, Lifeng Zhou, Pratap Tokekar, Ryan K. Williams:
Distributed Resilient Submodular Action Selection in Adversarial Environments. IEEE Robotics Autom. Lett. 6(3): 5832-5839 (2021) - [c11]Guangyao Shi, Ishat E. Rabban, Lifeng Zhou, Pratap Tokekar:
Communication-Aware Multi-robot Coordination with Submodular Maximization. ICRA 2021: 8955-8961 - [c10]Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar, P. B. Sujit:
Risk-Aware Submodular Optimization for Stochastic Travelling Salesperson Problem. IROS 2021: 4720-4725 - [i19]Lifeng Zhou, Pratap Tokekar:
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments. CoRR abs/2105.00389 (2021) - [i18]Siddharth Mayya, Ragesh K. Ramachandran, Lifeng Zhou, Gaurav S. Sukhatme, Vijay Kumar:
Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams. CoRR abs/2105.03813 (2021) - [i17]Jun Liu, Lifeng Zhou, Pratap Tokekar, Ryan K. Williams:
Distributed Resilient Submodular Action Selection in Adversarial Environments. CoRR abs/2105.07305 (2021) - [i16]Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. CoRR abs/2105.08601 (2021) - [i15]Lifeng Zhou, Vijay Kumar:
Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks. CoRR abs/2109.09838 (2021) - 2020
- [c9]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. ICRA 2020: 2479-2485 - [c8]Ragesh K. Ramachandran, Lifeng Zhou, James A. Preiss, Gaurav S. Sukhatme:
Resilient Coverage: Exploring the Local-to-Global Trade-off. IROS 2020: 11740-11747 - [c7]Vishnu D. Sharma, Maymoonah Toubeh, Lifeng Zhou, Pratap Tokekar:
Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles. IROS 2020: 11763-11769 - [c6]Guangyao Shi, Pratap Tokekar, Lifeng Zhou:
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. Robotics: Science and Systems 2020 - [i14]Lifeng Zhou, Pratap Tokekar:
Risk-Aware Submodular Optimization for Multi-Robot Coordination. CoRR abs/2003.10492 (2020) - [i13]Vishnu D. Sharma, Maymoonah Toubeh, Lifeng Zhou, Pratap Tokekar:
Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles. CoRR abs/2003.11675 (2020) - [i12]Guangyao Shi, Lifeng Zhou, Pratap Tokekar:
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. CoRR abs/2003.13896 (2020) - [i11]Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar, P. B. Sujit:
Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem. CoRR abs/2011.01095 (2020) - [i10]Guangyao Shi, Ishat E. Rabban, Lifeng Zhou, Pratap Tokekar:
Communication-Aware Multi-robot Coordination with Submodular Maximization. CoRR abs/2011.01476 (2020)
2010 – 2019
- 2019
- [j3]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Resilient Active Target Tracking With Multiple Robots. IEEE Robotics Autom. Lett. 4(1): 129-136 (2019) - [j2]Lifeng Zhou, Pratap Tokekar:
Active Target Tracking With Self-Triggered Communications in Multi-Robot Teams. IEEE Trans Autom. Sci. Eng. 16(3): 1085-1096 (2019) - [j1]Lifeng Zhou, Pratap Tokekar:
Sensor Assignment Algorithms to Improve Observability While Tracking Targets. IEEE Trans. Robotics 35(5): 1206-1219 (2019) - [c5]Zhongshun Zhang, Joseph Lee, Jonathon M. Smereka, Yoonchang Sung, Lifeng Zhou, Pratap Tokekar:
Tree Search Techniques for Minimizing Detectability and Maximizing Visibility. ICRA 2019: 8791-8797 - [c4]Lifeng Zhou, Pratap Tokekar:
An Approximation Algorithm for Distributed Resilient Submodular Maximization: Extended Abstract. MRS 2019: 216-218 - [i9]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. CoRR abs/1910.01208 (2019) - [i8]Ragesh K. Ramachandran, Lifeng Zhou, Gaurav S. Sukhatme:
Resilient Coverage: Exploring the Local-to-Global Trade-off. CoRR abs/1910.01917 (2019) - 2018
- [c3]Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar:
Strategies to Design Signals to Spoof Kalman Filter. ACC 2018: 5837-5842 - [c2]Lifeng Zhou, Pratap Tokekar:
An Approximation Algorithm for Risk-Averse Submodular Optimization. WAFR 2018: 144-159 - [i7]Lifeng Zhou, Pratap Tokekar:
An Approximation Algorithm for Risk-averse Submodular Optimization. CoRR abs/1807.09358 (2018) - [i6]Zhongshun Zhang, Yoonchang Sung, Lifeng Zhou, Jonathon M. Smereka, Joseph Lee, Pratap Tokekar:
A Minimax Tree Based Approach for Minimizing Detectability and Maximizing Visibility. CoRR abs/1807.09437 (2018) - [i5]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Resilient Active Target Tracking with Multiple Robots. CoRR abs/1809.04032 (2018) - [i4]Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar:
Strategies to Inject Spoofed Measurement Data. CoRR abs/1809.04756 (2018) - 2017
- [c1]Lifeng Zhou, Pratap Tokekar:
Active target tracking with self-triggered communications. ICRA 2017: 2117-2123 - [i3]Lifeng Zhou, Pratap Tokekar:
Active Target Tracking with Self-Triggered Communications in Multi-Robot Teams. CoRR abs/1704.07475 (2017) - [i2]Lifeng Zhou, Pratap Tokekar:
A Lower Bound on Observability for Target Tracking with Range Sensors and its Application to Sensor Assignment. CoRR abs/1706.00871 (2017) - [i1]Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar:
Strategies to Design Signals to Spoof Kalman Filter. CoRR abs/1710.02442 (2017)
Coauthor Index
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