Studies in collective robotics usually emphasise aspects like efficiency, robustness and flexibility of the system. These are all desirable features for a robotic system, which however do not come for free along with the distributed approach. Suitable design methodologies must be devised to obtain similar features in a collective robotic system, both for what concerns the robotic hardware and the control algorithms. In this chapter, we discuss the problem of synthesising distributed controllers for a group of robots by using evolutionary techniques

Evolving collective control, cooperation and distributed cognition

Trianni Vito;Nolfi Stefano
2013

Abstract

Studies in collective robotics usually emphasise aspects like efficiency, robustness and flexibility of the system. These are all desirable features for a robotic system, which however do not come for free along with the distributed approach. Suitable design methodologies must be devised to obtain similar features in a collective robotic system, both for what concerns the robotic hardware and the control algorithms. In this chapter, we discuss the problem of synthesising distributed controllers for a group of robots by using evolutionary techniques
2013
Istituto di Scienze e Tecnologie della Cognizione - ISTC
9789814316422
Collective Behavior
Evolutionary Robotics
Swarm Intelligence
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/116965
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