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Can I read Bio-inspired Self-organizing Robotic Systems (studies In Computational Intelligence) on EtoBox?
Bio-inspired Self-organizing Robotic Systems (studies In Computational Intelligence) by Editor-yan Meng is a engineering available to read on EtoBox.
What is Bio-inspired Self-organizing Robotic Systems (studies In Computational Intelligence) about?
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
Who reads Bio-inspired Self-organizing Robotic Systems (studies In Computational Intelligence)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Editor-yan Meng
- Publisher
- Springer Berlin Heidelberg; Springer
- Published
- 2011
- Language
- EN
- ISBN
- 9783642207600
- Category
- engineering
- Subjects
- Engineering, Computer Science, Science
- Updated
- 2026-03-25
Other editions & translations
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