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
•Posted Content
On Opinion Dynamics in Heterogeneous Networks
TL;DR: In this article, the authors studied the opinion dynamics model and derived sufficient conditions for convergence and monotonicity of the convergence under fixed topology for infinite time, while defining leader groups that determine the followers' rate and direction of convergence.
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Stochastic and Dynamic Routing Problems for Multiple UAVs
John J. Enright,Ketan Savla,Emilio Frazzoli,Francesco Bullo +3 more
- 01 Jan 2009
TL;DR: Three algorithms are presented and it is shown that the optimal routing policy depends on problem parameters such as the workload per vehicle and the vehicle density in the environment, and a dimension-less parameter is identified which completely captures this phase transition.
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Sensing limitations in the Lion and Man problem
Shaunak D. Bopardikar,Francesco Bullo,Joao P. Hespanha +2 more
- 09 Jul 2007
TL;DR: The discrete-time lion and man problem reduces to a previously-studied problem with unlimited sensing, which allows the established lion strategy in the capture phase and a novel upper bound on the time required for the pursuit phase to terminate using the greedy strategy is given.
Delayed car-following dynamics for human and robotic drivers
Gábor Orosz,Jeff Moehlis,Francesco Bullo +2 more
- 01 Jan 2011
TL;DR: In this paper, a general class of car-following models is analyzed where the longitudinal acceleration of a vehicle is determined bya nonlinear function of the distance to the vehicle in front, t heir velocity difference, and the vehicle's own velocity.
A Dynamic Boundary Guarding Problem with Translating Targets
TL;DR: In this paper, a service vehicle is deployed to guard a deadline (boundary) from dynamically arriving mobile targets, where targets arrive continuously over time on the edge opposite the deadline and move towards the deadline at a fixed speed.
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