Swarm Robotics

• Main Author: Spezzano, Giandomenico (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Subjects: Computer science; n/a; self-organization; signal source localization; multi-robot system; sensor deployment; parallel technique; shape normalization; genetic algorithm; multiple robots; optimization; improved potential field; optimal configuration; autonomous docking; asymmetrical interaction; comparison; behaviors; patterns; self-assembly robots; congestion control; surface-water environment; target recognition; coordinate motion; UAV swarms; formation reconfiguration; swarm robotics; swarm intelligence; artificial bee colony algorithm; obstacle avoidance; fish swarm optimization; search algorithm; robotics; time-difference-of-arrival (TDOA); formation; mobile robots; formation control; meta-heuristic; event-triggered communication; search; virtual structure; 3D model identification; surveillance; event-driven coverage; scale-invariant feature transform; system stability; Swarm intelligence algorithm; bionic intelligent algorithm; unmanned aerial vehicle; underwater environment; artificial flora (AF) algorithm; swarm behavior; weighted implicit shape representation; Cramer-Rao low bound (CRLB); environmental perception; particle swarm optimization; modular robots; cooperative target hunting; virtual linkage; multi-AUV; consensus control; panoramic view; nonlinear disturbance observer; sliding mode controller; path optimization; Swarm Chemistry; multi-agents
• Online Access: DOAB: download the publication; DOAB: description of the publication

Collectively working robot teams can solve a problem more efficiently than a single robot, while also providing robustness and flexibility to the group. Swarm robotics model is a key component of a cooperative algorithm that controls the behaviors and interactions of all individuals. The robots in t...