The development of artificial devices (nanobots), working as blood white cells but addressed to the recognition and eventually the destruction of endogenous pathological states, is an ambitious goal. Swarm intelligence can be a key element to successfully tackle the challenges posed by this goal. Here we describe an applicative scenario, based on swarm of nanobots, by sketching the environment in which the nanobots operate, the constraints related to their physical implementation, and the tasks they have to tackle. In this scenario, we propose to use collisions between nanorobots as a way of communication inside the swarm. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Amato, P., Masserini, M., Mauri, G., & Cerofolini, G. (2010). Early-stage diagnosis of endogenous diseases by swarms of nanobots: An applicative scenario. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6234 LNCS, pp. 408–415). https://doi.org/10.1007/978-3-642-15461-4_38
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