Abstract
Claytronics is a future technology in the field of artificial intelligence and modular robotics to create programmable nanoscale robots (catoms). Each catom acts like a computer. It has the ability to adopt different shapes. Many methods are being used for the cluster formation of catoms and are mainly based on the message passing techniques. The energy consumed and the time delays taken in cluster formation are depending on the number of messages sent between catoms and the topology factor. In this paper, we report a new optimisation algorithm for cluster formation in claytronics. The proposed methodology is based on the foraging behaviour of the honey bee swarm. The algorithm introduces many user-defined functions for optimising the operations in cluster formation. It also minimises the number of message transfers among catoms and chooses a maximum topology factor value to form a particular shape. The paper theoretically analyses the operation of cluster formation and makes a comparison with previous methods. The analysis shows that our work optimises the energy and message transfer in the catom-cluster formation.
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Acknowledgment
We would like to thank Carnegie Mellon University, Intel, and all Claytronics groups that shared valuable information regarding the various concepts in Claytronics and also thankful to the Department of Computer Science and Engineering, NSS College of Engineering, Palakkad, for providing all the required facilities for doing the work in a systematic way.
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Jithin, K.C., Sankar, S. (2019). A Theoretical Approach Towards Optimizing the Movement of Catom Clusters in Micro Robotics Based on the Foraging Behaviour of Honey Bees. In: Abraham, A., Gandhi, N., Pant, M. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2018. Advances in Intelligent Systems and Computing, vol 939. Springer, Cham. https://doi.org/10.1007/978-3-030-16681-6_17
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DOI: https://doi.org/10.1007/978-3-030-16681-6_17
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