Towards Temporal Verification of Emergent Behaviours in Swarm Robotic Systems

  • Clare Dixon
  • Alan Winfield
  • Michael Fisher
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6856)

Abstract

A robot swarm is a collection of simple robots designed to work together to carry out some task. Such swarms rely on: the simplicity of the individual robots; the fault tolerance inherent in having a large population of often identical robots; and the self-organised behaviour of the swarm as a whole. Although robot swarms are being deployed in increasingly sophisticated areas, designing individual control algorithms that can guarantee the required global behaviour is difficult. In this paper we apply and assess the use of formal verification techniques, in particular that of model checking, for analysing the emergent behaviours of robotic swarms. These techniques, based on the automated analysis of systems using temporal logics, allow us to analyse all possible behaviours and so identify potential problems with the robot swarm conforming to some required global behaviour. To show this approach we target a particular swarm control algorithm, and show how automated temporal analysis can help to refine and analyse such an algorithm.

Keywords

Mobile Robot Model Check Temporal Logic Wireless Range Emergent Behaviour 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Clare Dixon
    • 1
  • Alan Winfield
    • 2
  • Michael Fisher
    • 1
  1. 1.Department of Computer ScienceUniversity of LiverpoolLiverpoolUK
  2. 2.Bristol Robotics LaboratoryUniversity of the West of EnglandBristolUK

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