Computational Intelligent Techniques in Mechatronics

1AI in Mechatronics

Vansh Gehlot* and Prashant Singh Rana

Thapar Institute of Engineering and Technology, Patiala, Punjab, India

Abstract

The chapter “AI in Mechatronics” provides a comprehensive overview of how artificial intelligence (AI) techniques can enhance mechatronic systems; it covers core AI approaches, including machine learning, computer vision, soft computing methods, natural language processing, AI planning, and intelligent system design tools. Key real-world applications across areas like manufacturing automation, robotics, vehicles, and human–machine interaction are analyzed. The integration of data-driven and knowledge-based AI methods can endow mechatronics with advanced capabilities around autonomy, environmental perception, reasoning, control, and human collaboration. This creates intelligent self-optimizing systems that continue learning and adapting. Current challenges around model accuracy, data availability, security, and algorithmic transparency are discussed along with emerging opportunities in embedded intelligence and bio-inspired robotics. Overall, the synergistic fusion of AI and mechatronics promises to transform technological systems across industrial and societal domains by enhancing automation, augmenting human capabilities, and enabling next-generation smart mechanized assistants.

Keywords: Machine learning, human–robot collaboration, computer vision, robotic systems, natural language processing, manufacturing automation, self-driving vehicles ...