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.

Amato, P., Masserini, M., Mauri, G., Cerofolini, G. (2010). Early-Stage Diagnosis of Endogenous Diseases by Swarms of Nanobots: An Applicative Scenario. In Swarm Intelligence. 7th International Conference, ANTS 2010 (pp.408-415). Berlin : Springer [10.1007/978-3-642-15461-4_38].

Early-Stage Diagnosis of Endogenous Diseases by Swarms of Nanobots: An Applicative Scenario

AMATO, PAOLO;MASSERINI, MASSIMO ERNESTO;MAURI, GIANCARLO;
2010

Abstract

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.
Campo DC Valore Lingua
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dc.authority.anceserie LECTURE NOTES IN COMPUTER SCIENCE -
dc.authority.people AMATO, PAOLO en
dc.authority.people MASSERINI, MASSIMO ERNESTO en
dc.authority.people MAURI, GIANCARLO en
dc.authority.people Cerofolini, G. en
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dc.date.issued 2010 en
dc.description.abstracteng 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. -
dc.description.allpeople Amato, P; Masserini, M; Mauri, G; Cerofolini, G -
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dc.identifier.citation Amato, P., Masserini, M., Mauri, G., Cerofolini, G. (2010). Early-Stage Diagnosis of Endogenous Diseases by Swarms of Nanobots: An Applicative Scenario. In Swarm Intelligence. 7th International Conference, ANTS 2010 (pp.408-415). Berlin : Springer [10.1007/978-3-642-15461-4_38]. en
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dc.relation.ispartofseries Lecture Notes in Computer Science it
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dc.title Early-Stage Diagnosis of Endogenous Diseases by Swarms of Nanobots: An Applicative Scenario en
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scopus.description.abstract 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. *
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