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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 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.
Every end of the month is a tough time for office workers, especially college graduates like Chu Fei, who don't even have a decent job yet and can only make ends meet by doing odd jobs. But ChuFei grew up in an orphanage, this kind of situation is also common.
This book constitutes the proceedings of the 15 Chinese Lexical Semantics Workshop, CLSW 2014, held in Macau, China, in June 2014. The 41 regular and 3 short papers included in this volume were carefully reviewed and selected from 139 submissions. They are organized in topical sections named: lexical semantics; applications on natural language processing; and lexical resources and corpus linguistics.