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 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 cont…
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Produktdetails
Weitere Autoren: Jin, Yaochu (Hrsg.)
- ISBN: 978-3-662-50664-6
- EAN: 9783662506646
- Produktnummer: 31960426
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 275 S.
- Masse: H23.5 cm x B15.5 cm 599 g
- Auflage: Nachdr.
- Reihenbandnummer: 355
- Gewicht: 599
- Sonstiges: Research
2 weitere Werke von Yan (Hrsg.) Meng:
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