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Auton Agent Multi-Agent Syst DOIs10458Get in touch: cooperative decision making based on robot-to-robot collisions Thomas Schmickl · Ronald Thenius ·
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Document Date: 2009-06-17 07:16:24


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City

St. Poelten / /

Company

Karl Crailsheim Springer Science+Business Media LLC / /

Country

Germany / Austria / /

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Facility

C. Moeslinger University of Applied Sciences St. Poelten / University Karlsruhe / University of Stuttgart / Germany M. Szymanski Institute / University Graz / Austria S. Kernbach Institute of Parallel / /

IndustryTerm

short-range chemical communication / control algorithm / swarm systems / swarm robotic systems / generalized algorithms / swarm robotic algorithm / swarm-intelligent systems / near-optimal solutions / proposed control algorithm / identical software controllers / swarm algorithm / low-complexity algorithm / robot control algorithm / biological systems / real physical hardware / stable solution / chemical communication / manufacturing / robot swarm algorithm / deduced control algorithm / controller software / bio-inspired algorithm / swarm robotic control algorithm / bio-inspired swarm algorithms / spin-off product / found solutions / well-optimized swarm systems / /

Organization

Germany M. Szymanski Institute for Process Control / University of Stuttgart / Stuttgart / Austria S. Kernbach Institute of Parallel and Distributed Systems / C. Moeslinger University of Applied Sciences St. Poelten / /

Person

Gerald Radspieler / Christoph Moeslinger / Ronald Thenius / Thomas Schmickl / Marc Szymanski / Serge Kernbach / /

Position

General / controller / /

Technology

proposed control algorithm / robot control algorithm / bio-inspired algorithm / swarm robotic algorithm / deduced control algorithm / control algorithm / swarm robotic control algorithm / board design / One low-complexity algorithm / simulation / bio-inspired swarm algorithms / Process Control / swarm algorithm / robot swarm algorithm / pheromones / bio-inspired algorithms / /

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