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Titlebook: Bio-Inspired Self-Organizing Robotic Systems; Yan Meng,Yaochu Jin Book 2011 Springer Berlin Heidelberg 2011 Robotics.Self-organizing robot

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發(fā)表于 2025-3-21 17:19:10 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Bio-Inspired Self-Organizing Robotic Systems
影響因子2023Yan Meng,Yaochu Jin
視頻videohttp://file.papertrans.cn/187/186356/186356.mp4
發(fā)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
學(xué)科分類Studies in Computational Intelligence
圖書封面Titlebook: Bio-Inspired Self-Organizing Robotic Systems;  Yan Meng,Yaochu Jin Book 2011 Springer Berlin Heidelberg 2011 Robotics.Self-organizing robot
影響因子.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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Flocking Control Algorithms for Multiple Agents in Cluttered and Noisy Environmentsdesigned to coordinate the activities of multiple agents in cluttered and noisy environments, respectively. First, to allow agents to track and observe a target better in cluttered environments, an adaptive flocking control algorithm is proposed.With this algorithm, all agents can track the target b
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On Self-Optimized Self-Assembling of Heterogeneous Multi-robot Organismses several algorithmic inspirations from biological regulatory networks for achieving environmental dependability and considers constraint-based optimization techniques for finding optimal connections between heterogeneous modules. Scalability and locality of sensor information are addressed.
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Towards , Robotsn, exhibiting complex behaviour from very simple component interactions. . may be considered as a smart computing material as its motor and control systems are distributed within a simple tissue type and can survive trauma such as excision, fission and fusion of plasmodia. We demonstrate experimenta
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