International Journal of Mechatronics and Manufacturing Technology

Authors: Sakshi Verma, Mridul Gupta

Abstract: The integration of Artificial Intelligence (AI) into Mechatronic Systems Design represents a paradigm shift, enhancing system performance, flexibility, and adaptability in dynamic environments. This paper explores the role of AI in transforming traditional mechatronic systems, focusing on intelligent control systems, adaptive learning, fault detection, and decision-making processes. The paper also examines key methodologies such as machine learning, neural networks, and expert systems in optimizing mechatronic designs. Practical applications of AI in mechatronic fields, such as robotics, autonomous vehicles, and manufacturing automation, are discussed. This paper aims to provide a comprehensive analysis of the opportunities and challenges posed by the integration of AI in mechatronic system design, offering insights into future trends.

Keywords: Artificial Intelligence, Mechatronic Systems, Machine Learning, Control Systems, Robotics, Autonomous Vehicles, System Optimization, Fault Detection, Adaptive Learning, Decision Making.