Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2016
Genre:	Naturwissensch., Medizin, Technik
	Artificial Intelligence / Automatic control engineering / Automation / B / Computational Intelligence / Control, Robotics, Automation / engineering / Robotics / Robotics and Automation mehr...
ISBN:	9783662506646
EAN-Code:	9783662506646
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#355 - Studies in Computational Intelligence
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	599 gr
Seiten:	275
Illustration:	X, 275 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.