On Synchronous Robotic Networks—Part II: Time Complexity of Rendezvous and Deployment Algorithms

DOI10.1109/TAC.2007.908304zbMath1366.93389OpenAlexW2021429920MaRDI QIDQ5282306

Sonia Martínez, Bullo, Francesco, Emilio Frazzoli, Jorge Cortés

Publication date: 27 July 2017

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.2007.908304

Mathematics Subject Classification ID

Control/observation systems involving computers (process control, etc.) (93C83) Automated systems (robots, etc.) in control theory (93C85) Artificial intelligence for robotics (68T40)

Related Items

Diffusive Influence Systems, Noisy Hegselmann-Krause systems: phase transition and the \(2R\)-conjecture, An improved energy argument for the Hegselmann–Krause model, Optimal control of the freezing time in the Hegselmann–Krause dynamics, Coordination and collision avoidance for Lagrangian systems with disturbances, Communication, Dynamics, and Renormalization, Analysis of consensus protocols with bounded measurement errors, Uniform multi-agent deployment on a ring, Coverage control for heterogeneous mobile sensor networks on a circle, The Hegselmann-Krause dynamics for equally spaced agents, The Hegselmann-Krause dynamics on the circle converge, Coverage control for heterogeneous mobile sensor networks with bounded position measurement errors, Arbitrary pattern formation by asynchronous, anonymous, oblivious robots, Well-posedness of the limiting equation of a noisy consensus model in opinion dynamics, A note on connectivity of multi-agent systems with proximity graphs and linear feedback protocol, Rendezvous of multiple mobile agents with preserved network connectivity, Convergence of Distributed WSN Algorithms: The Wake-Up Scattering Problem, Markov Chain Approach to Probabilistic Guidance for Swarms of Autonomous Agents, Consensus reaching in multi-agent packet-switched networks with non-linear coupling, Practical multiagent rendezvous through modified circumcenter algorithms, A quadratic lower bound for the convergence rate in the one-dimensional Hegselmann-Krause bounded confidence dynamics