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Sustainable Safety in Mobile Multi-robot Systems via Collective Adaptation

Darko Bozhinoski, Ivano Malavolta, Antonio Bucchiarone, Annapaola Marconi

Year
2015
Citations
3

Abstract

To be safe, mobile multi-robots systems need to be able to adapt to unexpected behaviours of robots as well as to exogenous changes in the environment. In this paper, we describe a novel approach for the development of multi-robots systems where robots collectively collaborate with each other to satisfy their goals and to adapt their behaviour in a collective way satisfying the overall system safety. Safety-specific self-adaptation capabilities of the approach are generic and independent from the functional behaviour of the robots. An example dealing with safety for autonomous UAV is provided as well.

Keywords

Adaptation (eye)RobotMobile robotComputer scienceHuman–computer interactionArtificial intelligence

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