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oai:riuma.uma.es:10630/287322026-02-03T11:13:13Zcom_10630_2254col_10630_37953

The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments: A Search and Rescue Case Study Bravo-Arrabal, Juan Toscano-Moreno, Manuel Fernández-Lozano, Juan Jesús Mandow, Anthony Gómez-Ruiz, José Antonio García-Cerezo, Alfonso José Robótica Spanish project RTI2018-093421-B-I00. “Piloto 5G Andalucía” initiative, project C007/18-SP. Spanish predoctoral Grant BES-2016-077022 Cloud robotics exploits the Internet of things (IoT) for the convergence of shared infrastructure and services for robotics, ranging from using computational resources in the cloud (infrastructure as a service, IaaS) to having a repertoire of algorithms to deploy on a robot on a task-based basis (platform as a service, PaaS). Since its first formulations, different possibilities of cloud robotics have been explored. The DAvinCi project proposed a software framework to parallelize the FastSLAM algorithm to share the computational load among several robots. The RoboEarth project focused on knowledge representation and storage of shared environment information, so that various robots could create semantic maps and perform visual SLAM. Moreover, the ubiquitous network robot platform proposed an integration of robots and sensors by using the cloud for sharing information through an architecture that is highly focused on communications between the various elements. Moreover, the algorithm presented in [6] improved the efficiency of smart factories based on multi-robot services hosted in the cloud, which can run at different speeds and with different workloads. 2024-01-15T12:08:21Z 2024-01-15T12:08:21Z 2021 journal article Bravo-Arrabal, J.; Toscano-Moreno, M.; Fernandez-Lozano, J.J.; Mandow, A.; Gomez-Ruiz, J.A.; García-Cerezo, A. The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments: A Search and Rescue Case Study. Sensors 2021, 21, 7843 https://hdl.handle.net/10630/28732 10.3390/s21237843 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional MPDI