Abstract
The integration of robotics and Internet of Things (IoT) leads to the concept of the Internet of Robotic Things (IoRT). It is an emerging vision that brings together the physical world which includes (sensors and accumulators) with robotics and cloud computing. Cloud computing provides robots with tremendous abilities by offering them faster and powerful computational capabilities through massively computation powers and higher data storage facilities. The recent progress in cloud robotics has led to active research in this area from the development of cloud robotics architectures to its varied applications in different robotics domains. These new researches accelerate the development of autonomous system design paradigms and the proliferation of the IoRT. With Machine to Machine (M2M) communication technology, IoRT services can aim to understand connected robots’ reactions in order to optimize services and applications. However, cloud and M2M communication systems are overloaded due to the amount of transferred data. Because of the different IoRT data features as well as the way to manage this data, the complexity of IoRT systems increases. This survey explores how the integration of robotic and IoT technologies will enhance the abilities of both the current IoT and the current robotic systems, thus enabling the creation of new, potential services. This survey discusses some of the new technological challenges created by this merger and concludes that a truly holistic view is needed but currently lacking.
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ElBanhawy, M., Mohamed, A., Saber, W., Rizk, R.Y. (2023). The Internet of Robotic Things: A Review of Concept, Challenges and Applications. In: Hassanien, A., Rizk, R.Y., Pamucar, D., Darwish, A., Chang, KC. (eds) Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023. AISI 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-031-43247-7_28
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