Abstract
In this paper, we propose a self-organizing search method for swarm robotics based on the concept of robot chains. Through the local communication and distance measurement between robots, this method can establish robot chain in a self-organizing ay and connect starting position with search target to complete the search task. In particular, we consider consists in forming a path between two objects in decentralized communication and non-positioning condition. Finally, we demonstrate the feasibility and efficiency of our method using the physical experiments and the simulation experiments.
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Acknowledgments
The study was supported by the National Natural Science Foundation of China (Grant No. 61703102), the Natural Science Foundation of Guangdong (no. 2015A030310274, no. 2017A030313690, no. 2015A030310415, and no. 2015A030310315), the Dongguan Social Science and Technology Development Project (NO. 2013108101011, NO. 2017507140058, NO. 2017507140059), and Dongguan Industrial Science and Technology Development Project (NO. 2015222119), Department of Education of Guangdong China (Grant No: 2016KTSCX137, 2017KZDXM082). Scientific research foundation of advanced talents (innovation team), DGUT (No. KCYCXPT2016004), and Guangdong science and technology innovation foundation of university students (NO. pdjh2017b0492).
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Luo, Y., Guo, J., Zeng, Z., Chen, C., Li, X., Wu, J. (2018). Robot Chain Based Self-organizing Search Method of Swarm Robotics. In: Huang, DS., Bevilacqua, V., Premaratne, P., Gupta, P. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10954. Springer, Cham. https://doi.org/10.1007/978-3-319-95930-6_14
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DOI: https://doi.org/10.1007/978-3-319-95930-6_14
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