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Advanced robotics automation for field operations: Leveraging AI and machine learning for dynamic, real-world applications
1 Boardwalk Pipelines, Houston, Texas, USA.
2 Jawaharlal Nehru Technological University, Hyderabad, India.
3 Speridian Technologies, Lahore, Pakistan.
4 Lahore Leads University, Lahore, Pakistan.
Review
International Journal of Science and Research Archive, 2024, 11(01), 2605–2614.
Article DOI: 10.30574/ijsra.2024.11.1.0010
Publication history:
Received on 01 January 2024; revised on 22 February 2024; accepted on 25 February 2024
Abstract:
Robotic automation powered by artificial intelligence and Machine learning is revolutionalizing field operations in manufacturing, agriculture, construction, mining & defense sectors. The current paper examines the critical technologies for this change: AI, robotics, collaborative robots or robotics, and energy management. In addressing these questions, the article describes some practical uses of field robotics and the benefits these systems bring to activities/operations conducted in difficult/hostile environments. However, the following represent some challenges associated with the various implementations: Technical drawbacks, Data security issues, and high implementation costs. In the envisaged future of robotics in field operation, the paper presents some trends, including multi-bot systems, enhanced energy, and real-time connectivity, as some of the trends expected to improve Field robotics further. Last but not least, robotics automation holds the potential to revolutionize industries by enhancing human effort and enhancing productivity with ideas that are out of the box in problem-solving sensibility.
Keywords:
Robotics Automation; Field Operations; Artificial Intelligence; Machine Learning; Human-Robot Collaboration; Multi-Robot Systems
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
