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Yan Meng, Yaochu Jin's Bio-Inspired Self-Organizing Robotic Systems PDF

By Yan Meng, Yaochu Jin

ISBN-10: 3642207596

ISBN-13: 9783642207594

Self-organizing methods encouraged from organic structures, akin to social bugs, genetic, molecular and mobile platforms below morphogenesis, and human psychological improvement, has loved nice good fortune in complicated robot structures that have to paintings in dynamic and altering environments. in comparison with classical keep watch over tools for robot platforms, the foremost benefits of bio-inspired self-organizing robot platforms contain robustness, self-repair and self-healing within the presence of procedure mess ups and/or malfunctions, excessive adaptability to environmental adjustments, and self reliant self-organization and self-reconfiguration with no centralized regulate. “Bio-inspired Self-organizing robot platforms” presents a priceless reference for scientists, practitioners and study scholars engaged on constructing keep an eye on algorithms for self-organizing engineered collective structures, comparable to swarm robot structures, self-reconfigurable modular robots, clever fabric established robot units, unmanned aerial automobiles, and satellite tv for pc constellations.

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Robustness analysis and failure recovery of a bio-inspired self-organizing multi-robot system. In: Third IEEE International Conference on SelfAdaptive and Self-organizing Systems, pp. 154–164. IEEE Press, Los Alamitos (2009) 19. : A hierarchical gene regulatory network model for adaptive pattern formation in changing environment. IEEE Transactions on Robotics (submitted 2011) 20. : Morphogenetic robotics: An emerging new field in developmental robotics. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Reviews and Applications (2010) (accepted) 21.

To enhance our evolutionary robotic systems, we aim for a similar pattern-generating system which is inspired by the growth process of multi-cellular organisms (see Fig. 14). To achieve this, we developed of virtual embryogenesis (VE) to generate various topologies autonomously and dynamically [39, 16]. The main idea of VE is the simulation of EvoDevo-like processes [3]. g. Drosophila m. [19]. EvoDevo-inspired processes will allow us to evolve network patterns and multi-modular robot shapes in parallel (see Fig.

39 Fig. 3m between food (top-right) and nest (bottom-left). The robot is on its way back from the food source pointing towards the nest and is following its own line. Fig. 9 Efficiency measurements for 4 different simulation runs. Top-left shows 4 robots, topright 6, bottom-left 8, bottom-right 12. Solid lines are with pheromones turned on, dashed lines represent runs without pheromones. The plots show the sum of units of food delivered to the nest. The efficiency of the agents that could utilize the pheromone trails is greatly increased.

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Bio-Inspired Self-Organizing Robotic Systems by Yan Meng, Yaochu Jin


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