Research Article
Interdisciplinary Approaches: Fog/Cloud Computing and IoT for AI and Robotics Integration
@ARTICLE{10.4108/airo.3620, author={}, title={Interdisciplinary Approaches: Fog/Cloud Computing and IoT for AI and Robotics Integration}, journal={EAI Endorsed Transactions on AI and Robotics}, volume={3}, number={1}, publisher={EAI}, journal_a={AIRO}, year={2024}, month={1}, keywords={Robotics, Artificial Intelligence, Internet of Things., Cloud Computing, Fog Computing}, doi={10.4108/airo.3620} }- Year: 2024
Interdisciplinary Approaches: Fog/Cloud Computing and IoT for AI and Robotics Integration
AIRO
EAI
DOI: 10.4108/airo.3620
Abstract
Fog/Cloud Computing and the Internet of Things have created intriguing opportunities for AI and robotics integration. This study examines interdisciplinary approaches that combine FCC, IoT, AI, and Robotics to construct sophisticated autonomous systems. These integrated systems may efficiently and intelligently conduct complicated tasks by using edge devices and cloud resources. Communication protocols, data management, security, and interoperability are studied in this interdisciplinary environment. Real-world case studies demonstrate the practicality and benefits of this integration. This study shows how interdisciplinary approaches will change AI and robotics integration. In conclusion, the intersection of Fog/Cloud Computing, IoT, AI, and Robotics is influencing autonomous systems. Edge devices and the cloud enable robots to become intelligent, adaptable, and essential parts of many industries. This research encourages researchers, practitioners, and policymakers to collaborate on innovation and widespread adoption of disruptive technologies. Interdisciplinary techniques are essential to maximizing AI and robotics integration and launching a new era of intelligent automation
Copyright © 2024 P. D. Singh et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
