Title :
Sustainable Safety in Mobile Multi-robot Systems via Collective Adaptation
Author :
Darko Bozhinoski;Ivano Malavolta;Antonio Bucchiarone;Annapaola Marconi
Author_Institution :
Gran Sasso Sci. Inst., L´Aquila, Italy
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 :
"Robots","Safety","Multi-robot systems","Monitoring","Mobile communication","Trajectory","Software"
Conference_Titel :
Self-Adaptive and Self-Organizing Systems (SASO), 2015 IEEE 9th International Conference on
DOI :
10.1109/SASO.2015.31