Multi-Robot Motion Planning Using Swarm Intelligence | Zendy

Gerasimos Rigatos | Zendy

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Multi-Robot Motion Planning Using Swarm Intelligence

Author(s) -

Gerasimos Rigatos

Publication year - 2008

Publication title -

international journal of advanced robotic systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.394

H-Index - 46

eISSN - 1729-8814

pISSN - 1729-8806

DOI - 10.5772/5601

Subject(s) - computer science , swarm intelligence , robot , motion planning , position (finance) , artificial intelligence , swarm behaviour , swarm robotics , motion (physics) , space (punctuation) , particle swarm optimization , computer vision , algorithm , finance , economics , operating system

Swarm intelligence theory is proposed for motion planning of multi-robot systems. Multiple particles start from different points in the solutions space and interact to each other while moving towards the goal position. Swarm intelligence theory is a derivative-free approach to the problem of multi-robotcooperation which works by searching iteratively in regions defined by each robot's best previous move and the best previous move of its neighbors. The method's performance is evaluated through simulation tests

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