Bio-Inspired Self-Organizing Robotic Systems

Self-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments.  Compared with...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Awdur Corfforaethol: SpringerLink (Online service)
Awduron Eraill: Meng, Yan. (Golygydd, http://id.loc.gov/vocabulary/relators/edt), Jin, Yaochu. (Golygydd, http://id.loc.gov/vocabulary/relators/edt)
Fformat: Electronig eLyfr
Iaith:English
Cyhoeddwyd: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Rhifyn:1st ed. 2011.
Cyfres:Studies in Computational Intelligence, 355
Pynciau:
Mynediad Ar-lein:https://doi.org/10.1007/978-3-642-20760-0
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
Disgrifiad
Crynodeb:Self-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments.  Compared with classical control methods for robotic systems, the major advantages of bio-inspired self-organizing robotic systems include robustness, self-repair and self-healing in the presence of system failures and/or malfunctions, high adaptability to environmental changes, and autonomous self-organization and self-reconfiguration without a centralized control. “Bio-inspired Self-organizing Robotic Systems” provides a valuable reference for scientists, practitioners and research students working on developing control algorithms for self-organizing engineered collective systems, such as swarm robotic systems, self-reconfigurable modular robots, smart material based robotic devices, unmanned aerial vehicles, and satellite constellations.  .
Disgrifiad Corfforoll:X, 275 p. online resource.
ISBN:9783642207600
ISSN:1860-949X ;