Discover the Intersection Between AI and Robotics in Developing Autonomous Systems for Use in the Human World and Cloud Computing
Abstract
The convergence of Artificial Intelligence (AI) and robotics is fundamentally reshaping the landscape of autonomous systems, offering transformative solutions across various sectors such as healthcare, manufacturing, transportation, and agriculture. AI-driven robotics, enhanced by machine learning and deep learning algorithms, is pushing the boundaries of what autonomous systems can achieve. Meanwhile, cloud computing offers the infrastructure necessary to process large datasets, execute complex algorithms, and facilitate real-time decision-making for these systems. This paper explores the intersection of AI, robotics, and cloud computing, highlighting how these technologies complement each other to enable robots to operate in dynamic human environments with increased efficiency, scalability, and adaptability. The analysis delves into the technical components of autonomous systems, their applications in real-world scenarios, and the ethical and technological challenges they face. By examining the current state of AI-powered autonomous systems and future trends such as 5G, edge computing, and human-robot collaboration, this paper provides insights into how these systems are revolutionizing industries and laying the foundation for the next generation of intelligent robotics. Tables detailing comparisons between traditional and AI-powered robotics and key advancements in cloud robotics are included to further illustrate the discussion.
Downloads
References
A. Hussain, J. Park, and A. K. Malik, "Big-Data-Driven Context-Aware Cyber-Physical Systems for Autonomous Cloud-Based IoT System," IEEE Access, vol. 7, pp. 118759-118771, 2019.
Nikhil Yogesh Joshi (2022). Enhancing Deployment Efficiency: A Case Study On Cloud Migration And Devops Integration For Legacy Systems. (2021). Journal Of Basic Science And Engineering, 18(1). https://yigkx.org.cn/index.php/jbse/article/view/308
P. Corke, "Robotics, Vision, and Control: Fundamental Algorithms in MATLAB," IEEE Journal of Robotics and Automation, vol. 2, no. 1, pp. 46-64, Mar. 2011.
Y. Chen, M. J. Er, and X. Li, "Autonomous Robot Learning via Deep Reinforcement Learning: Application in Obstacle Avoidance," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 6, pp. 2092-2104, Jun. 2020.
Y. Lu, Y. Xu, and G. Xu, "Development of a Cloud Computing Framework for Autonomous Vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 5, pp. 1899-1907, May 2019.
K. Goldberg and B. Kehoe, "Cloud Robotics and Automation: A Survey of Related Work," IEEE Transactions on Automation Science and Engineering, vol. 12, no. 2, pp. 396-409, Apr. 2015.
Ronakkumar Bathani. (2022) Data Privacy And Security In Healthcare: Implementing Column & Row-Level Security. (2022). Journal Of Basic Science And Engineering, 19(1), https://yigkx.org.cn/index.php/jbse/article/view/264
M. Wang, Z. Jiang, and Y. Chen, "Cloud Computing in Manufacturing: Future Perspectives and Trends," IEEE Transactions on Cloud Computing, vol. 8, no. 4, pp. 1171-1185, Oct.-Dec. 2020.
S. Shukla and N. Suri, "Cooperative Cloud Robotics and Cyber-Physical Systems: Analysis, Challenges, and Future Directions," IEEE Internet of Things Journal, vol. 8, no. 11, pp. 8799-8813, Jun. 2021.
J. Lin, W. Yu, and N. Zhang, "A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications," IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1125-1142, Oct. 2017.
Ronakkumar Bathani. (2021). Optimizing Etl Pipelines for Scalable Data Lakes in Healthcare Analytics. International Journal on Recent and Innovation Trends in Computing and Communication, 9(10), 17–24. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/11221
Nikhil Yogesh Joshi. (2022). Implementing Automated Testing Frameworks in CI/CD Pipelines: Improving Code Quality and Reducing Time to Market. International Journal on Recent and Innovation Trends in Computing and Communication, 10(6), 106–113. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/11166
