Integration of Machine Learning and Robotics in Industrial Automation


EOI: 10.11242/viva-tech.01.05.001

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Citation

Prof.Shreya Bhamre, Jigar Gohil, Vivek Chauhan,"Integration of Machine Learning and Robotics in Industrial Automation", VIVA-IJRI Volume 1, Issue 7, Article 1, pp. 1-14, 2023. Published by Master of Computer Application Department, VIVA Institute of Technology, Virar, India.

Abstract

The integration of machine learning and robotics in industrial automation represents a transformative synergy, enhancing operational efficiency and adaptability. Machine learning algorithms empower robots to analyse vast datasets, enabling real-time decision-making and predictive maintenance. This fusion optimizes production processes by continually refining tasks and responses, reducing downtime, and improving overall system performance. As machines learn from experience, they can adapt to dynamic environments, fostering flexibility and resilience in industrial settings. This integration not only streamlines routine tasks but also augments human capabilities, creating a collaborative and intelligent ecosystem. The convergence of machine learning and robotics in industrial automation heralds a new era, where intelligent machines contribute to agile, data-driven, and efficient industrial processes. The paper presents numerous resources that guide building knowledge.

Keywords

Actuators, Algorithms, Analytics, Decision Making, Efficiency, Human Capabilities, Industry, Innovation, Intelligent, Learning Capabilities, Machines, Performance, Robotics, Sensors.

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