We present a set of experiments in which a robotic swarm manages to collectively explore the environment, forming a path to navigate between two target areas, which are too distant to be perceived by an agent at the same time. Robots within the path continuously move back and forth between the two locations, exploiting visual interactions with their neighbours. The global group behaviour is obtained through an evolutionary process and presents emergent properties like robustness, path optimisation and scalability, which recall ants trail formation. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Sperati, V., Trianni, V., & Nolfi, S. (2010). Evolution of self-organised path formation in a swarm of robots. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6234 LNCS, pp. 155–166). https://doi.org/10.1007/978-3-642-15461-4_14
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