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Bio-Inspired Self-Organizing Robotic Systems

Edited by Yan Meng, Edited by Yaochu Jin

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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.Â 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. â€œBio-inspired Self-organizing Robotic Systemsâ€ 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. Â

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The Coming Wave: AI, Power and Our Future

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was: R 295.95
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Helgoland: The Strange and Beautiful Story of Quantum Physics

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Carlo Rovelli
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Originally published in Italian: L'ordine del tempo (Milan: Adelphi Edizioni, 2017).

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