Swarm Robotic Systems Based on Collective Behavior of Chloroplasts

Author:

Hoshino Satoshi, ,Takisawa Ryo,Kodama Yutaka,

Abstract

[abstFig src='/00290003/15.jpg' width='300' text='Swarming chloroplastic robots around light source' ] In this paper, distributed autonomous robots are used to perform area coverage tasks. In order for robots to cover the ground surface of environments, the coordination of a team of robots is a challenge. For this challenge, we present bio-inspired swarm robotic systems. We focus on the collective behavior of chloroplasts toward a light source. On the basis of the mechanism of the chloroplast, we propose robot behavior models that do not use local communication. The emergence of cooperative behavior through the interaction among the swarming robots is a main contribution of this paper. Based on simulation results, the effectiveness of the chloroplastic robots for the coverage task is discussed in terms of flexibility and scalability. Furthermore, the behavioral models are applied to actual mobile robots. Based on the results of experiments, the applicability of the chloroplastic robots to real environments is discussed. As an application of the swarm robotic system, a specific task, sweeping, is given to actual chloroplastic robots.

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cooperative Passing Based on Chaos Theory for Multiple Robot Swarms;Journal of Robotics and Mechatronics;2023-08-20

2. Bee-Inspired Algorithm for Groups of Cyber-Physical Robotic Cleaners with Swarm Intelligence;Studies in Systems, Decision and Control;2021

3. Comparative analysis of swarm intelligence algorithms for multi-agent systems coordination;XLIII ACADEMIC SPACE CONFERENCE: dedicated to the memory of academician S.P. Korolev and other outstanding Russian scientists – Pioneers of space exploration;2019

4. Collective Tasks for a Flock of Robots Using Influence Factor;Journal of Intelligent & Robotic Systems;2018-10-03

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