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Bio-Inspired Self-Organizing Robotic Systems

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Bio-Inspired Self-Organizing Robotic Systems - Meng, Yan (Editor), and Jin, Yaochu (Editor)
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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 ...

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Bio-Inspired Self-Organizing Robotic Systems 2016, Springer, Berlin, Heidelberg

ISBN-13: 9783662506646

Trade paperback

Bio-Inspired Self-Organizing Robotic Systems 2011, Springer-Verlag Berlin and Heidelberg GmbH & Co. K, Berlin

ISBN-13: 9783642207594

Hardcover