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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
مؤلف مشترك: SpringerLink (Online service)
مؤلفون آخرون: Meng, Yan. (المحرر, http://id.loc.gov/vocabulary/relators/edt), Jin, Yaochu. (المحرر, http://id.loc.gov/vocabulary/relators/edt)
التنسيق: الكتروني كتاب الكتروني
اللغة:English
منشور في: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
الطبعة:1st ed. 2011.
سلاسل:Studies in Computational Intelligence, 355
الموضوعات:
الوصول للمادة أونلاين:https://doi.org/10.1007/978-3-642-20760-0
الوسوم: إضافة وسم
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الوصف
الملخص: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.  .
وصف مادي:X, 275 p. online resource.
ردمك:9783642207600
تدمد:1860-949X ;