Prototype Development of Swarm Bot for Defense and Medical application
Abstract
Swarm bot is an approach to the coordination of multiple bots as a system which consist of large numbers of mostly simple physical bots. It is supposed that a desired collective behavior emerges from the interactions between the bots and interactions of bots with the environment. This approach emerged on the field of artificial swarm intelligence, as well as the biological studies of insects, ants and other fields in nature, where swarm behaviour occurs.
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References
A Survey of Swarm Robotics System, Advances in Swarm Intelligence, 2012, Volume 7331, ISBN : 978-3-642-30975-5, Zhiguo Shi, Jun Tu, Qiao Zhang, Lei Liu, Junming Wei.
Diemer, J.; Alpers, G. W.; Peperkorn, H. M.; Shiban, Y.; Mühlberger, A. The impact of perception and presence on emotional reactions: a review of research in virtual reality. Frontiers in psychology 2015, 6, 26.
Bindman, S. W.; Castaneda, L. M.; Scanlon, M.; Cechony, A. Am I a Bunny? The Impact of High and Low Immersion Platforms and Viewers' Perceptions of Role on Presence, Narrative Engagement, and Empathy during an Animated 360 Video. In Proceedings of the 2018 CHI conference on human factors in computing systems, 2018, April. p. 457. ACM.
Robert George Reid, “Large-Scale Simultaneously Localization and Mapping for Teams of Mobile Robots”, Australia, July 2016.
Sugawara K., Correll N., Reishus D, “Object Transportation by Granular Convection Using Swarm Robots,” in Ani Hsieh M., Chirikjian G. (eds) Distributed Autonomous Robotic Systems. Springer Tracts in Advanced Robotics, vol 104. Springer, Berlin, Heidelberg, 2014.
Paul Levi, Eugen Meister and Florian Schlachter,”Reconfigurable swarm robots produce selfassembling and self-repairing organisms”,Journal: Robotics and Autonomous Systems, Netherlands, October 2014.
Jin, Yaochu & Meng, Yan,” Morphogenetic Robotics: An Emerging New Field”, IEEE Transactions Developmental Robotics. Systems, Man, and Cybernetics, 2011.
S. Sankhar Reddy Chennareddy, Anita Agrawal, and Anupama Karuppiah,” Modular Self-Reconfigurable Robotic Systems: A Survey on Hardware Architectures”, Journal of Robotics, 2017.
Vorobyev G., Vardy A., Banzhaf W.,”Supervised Learning in Robotic Swarms: From Training Samples to Emergent Behavior”,2014
“How Robots Can Acquire NewSkils from Their Shared Experience”,Available:https://research.googleblog.com/2016/10/how-robots-can-acquire-new-skills-from.html?m=1. [Accessed Feb. 15, 2018].
Daniel Faggella,” Machine Learning in Robotics – 5 Modern Applications”, Available: https://www.techemergence .com/machine - learning- in-robotics/ [Accessed:15- Feb2018].
