| 期刊全称 | Bio-Inspired Self-Organizing Robotic Systems | | 影响因子2023 | Yan Meng,Yaochu Jin | | 视频video | | | 发行地址 | State-of-the-art research inspired by biological principles for self-organizing robotic systems.Bridges multi-disciplinary research areas such as robotics, artificial life, systems biology, and evolut | | 学科分类 | Studies in Computational Intelligence | | 图书封面 |  | | 影响因子 | .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. . . | | Pindex | Book 2011 |
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发表于 2025-3-21 17:19:10
