Lifeng Zhou
Virginia Tech
52 Papers
77 Citations
Lifeng Zhou is an academic researcher from Virginia Tech. The author has contributed to research in topics: Computer science & Submodular set function. The author has an hindex of 9, co-authored 40 publications. Previous affiliations of Lifeng Zhou include Shanghai Jiao Tong University & University of Pennsylvania.
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Papers
Resilient Active Target Tracking With Multiple Robots
Lifeng Zhou,Vasileios Tzoumas,George J. Pappas,Pratap Tokekar +3 more
- 01 Jan 2019
TL;DR: In this paper, the authors proposed a target tracking algorithm that achieves maximal resiliency, since the algorithm is valid for any number of failures and terminates with the same running time as state-of-the-art algorithms for non-resilient target tracking.
Sensor Assignment Algorithms to Improve Observability While Tracking Targets
Lifeng Zhou,Pratap Tokekar +1 more
TL;DR: This paper studies two sensor assignment problems for multitarget tracking with the goal of improving the observability of the underlying estimator and presents an approximation algorithm for this problem and various properties of observability measures.
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning
Lifeng Zhou,Vasileios Tzoumas,George J. Pappas,Pratap Tokekar +3 more
- 01 May 2020
TL;DR: This paper proposes a general-purpose distributed algorithm towards robust optimization at scale, with local communications only, and name it distributed robust maximization (DRM), which proposes a divide-and-conquer approach that distributively partitions the problem among K cliques of robots.
Active Target Tracking With Self-Triggered Communications in Multi-Robot Teams
Lifeng Zhou,Pratap Tokekar +1 more
TL;DR: In this article, a self-triggered communication strategy is proposed to decide when a particular robot should seek up-to-date information from its neighbors and when it is safe to operate with possibly outdated information.
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Distributed model predictive control for multi-agent flocking via neighbor screening optimization
Lifeng Zhou,Shaoyuan Li +1 more
TL;DR: A neighbor screening protocol is introduced, by which each agent only focuses on its neighbors, which have the relative motion that violates the formation of flocks, and a truly distributed MPC flocking algorithm is designed with consideration of neighbor screening mechanism.
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