Francesco Bullo
University of California, Santa Barbara
520 Papers
6K Citations
Francesco Bullo is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Computer science & Distributed algorithm. The author has an hindex of 81, co-authored 484 publications. Previous affiliations of Francesco Bullo include California Institute of Technology & University of California.
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Papers
Target assignment for robotic networks: Worst-case and stochastic performance in dense environments
Stephen L. Smith,Francesco Bullo +1 more
- 01 Dec 2007
TL;DR: This paper focuses on "dense" environments, where the sum of the communication footprints is larger than the area of the environment, and introduces the class of monotonic algorithms, whose worst-case completion time is lower bounded by the areaof the environment.
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Accuracy and Decision Time for Sequential Decision Aggregation
TL;DR: In this article, the authors consider a group of identical agents, each performing binary hypothesis testing and each obtaining a decision over time, and characterize the probabilities of correct and wrong decisions as a function of time, group size and decision threshold.
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Stochastic Strategies for Robotic Surveillance as Stackelberg Games
TL;DR: This paper derive a universal upper bound on the capture probability, i.e., the performance limit for the surveillance agent, and shows that this upper bound is tight in the complete graph and further provides suboptimality guarantees for a natural design.
Weak and Semi-Contraction for Network Systems and Diffusively-Coupled Oscillators
TL;DR: In this paper, the authors developed two generalizations of contraction theory, namely, semi-contraction and weak contraction, and showed that the spectral abscissa of a matrix is the infimum over weighted semi-measures.
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