Integration of Artificial Intelligence Techniques in Mechatronic Systems for Smart Manufacturing

Abstract

The integration of artificial intelligence (AI) techniques in mechatronic systems has emerged as a significant research area in the field of smart manufacturing. This paper presents a comprehensive overview of the various AI techniques that are being employed to enhance the capabilities and performance of mechatronic systems in the context of smart manufacturing. The aim is to explore how AI techniques can be effectively integrated into mechatronic systems to optimize production processes, improve product quality, and enable adaptive and intelligent manufacturing systems.The paper begins by discussing the fundamental concepts of mechatronic systems and their importance in smart manufacturing. Mechatronic systems combine mechanical, electrical, and computer engineering disciplines to design and develop intelligent systems with enhanced functionality and performance. The integration of AI techniques in mechatronics brings together the power of AI algorithms and control systems to create intelligent and autonomous systems capable of making real-time decisions and adaptations. The integration of AI techniques in mechatronic systems holds great potential for revolutionizing smart manufacturing. By leveraging machine learning, deep learning, expert systems, fuzzy logic, and genetic algorithms, mechatronic systems can achieve higher levels of intelligence, adaptability, and autonomy, leading to improved efficiency, productivity, and product quality in manufacturing processes. However, addressing the associated challenges and focusing on future research directions will be crucial in realizing the full potential of AI integration in mechatronic systems for smart manufacturing.