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

By Yan Meng, Yaochu Jin

Self-organizing techniques encouraged from organic platforms, similar to social bugs, genetic, molecular and mobile structures lower than morphogenesis, and human psychological improvement, has loved nice good fortune in complex 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 disasters and/or malfunctions, excessive adaptability to environmental adjustments, and independent self-organization and self-reconfiguration with out a centralized keep an eye on. “Bio-inspired Self-organizing robot platforms” offers a worthy reference for scientists, practitioners and examine scholars engaged on constructing keep watch over algorithms for self-organizing engineered collective platforms, corresponding to swarm robot structures, self-reconfigurable modular robots, shrewdpermanent fabric dependent robot units, unmanned aerial automobiles, and satellite tv for pc constellations.

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A fitness-independent evolvability measure for evolutionary developmental systems. In: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (2010) (accepted) 23. : Biological Psychology. Wadsworth Publishing, Belmont (2008) 24. : Development, learning and evolution in animats. In: From Perception to Action. IEEE Press, New York (1994) 25. : Framsticks: Towards a simulation of a nature-like world, creatures and evolution. In: European Conference on Artificial Life, pp.

Thus, a ‘swarm effect’ seems 34 T. Schmickl to be responsible for the bees’ well-functioning collective temperature-finding behavior. Further experiments with a specialized arena offered insight to this behavior [15]: Single honeybees usually wandered around in the arena randomly but stopped when colliding with another bee and then waited at this place for a duration that correlated with the temperature at this place. Low temperatures resulted in a short waiting-time of the bee, whereas warmer temperatures resulted in longer waitingtimes.

Using this benchmarks, we analyzed also the impact of swarm size (density) onto important efficiency measures of the swarm (see figure 2b). However, we realized many shortcomings of this algorithm: As soon as we implemented noise into robot-to-robot communication Fig. 2 (a) Emerging transportation trails in the cleaning scenario. Loaded robots (black boxes) carry their particles on the shortest path from the dirt areas (dark grey floor) to the central dump area (light grey floor). Unloaded robots (grey boxes) help in navigation through vector communication.

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