Computational Intelligent Techniques in Mechatronics

13Computational Intelligent Techniques in Mechatronics: Emerging Trends and Case Studies

Anita Mohanty¹*, Ambarish G. Mohapatra¹, Subrat Kumar Mohanty², Bright Keswani³ and Sasmita Nayak⁴

¹Electronics Engineering, Silicon Institute of Technology, Silicon University, Bhubaneswar, Odisha, India

²Electronics and Communication Engineering, Einstein Academy of Technology and Management, Bhubaneswar, Odisha, India

³Department of Computer Science and Engineering, Poornima University, Jaipur, India

⁴Mechanical Engineering, Government College of Engineering, Kalahandi, Odisha, India

Abstract

This chapter investigates the emerging trends and presents compelling case studies in the realm of computational intelligent (CI) techniques applied in mechatronics. Mechatronics, an interdisciplinary arena integrating mechanical engineering, electronics, and computer science, faces complex challenges in system design and control. To address these challenges, CI techniques, like artificial neural networks, evolutionary multi-objective optimization, reinforcement learning, swarm intelligence, explainable artificial intelligence (AI), human–robot interaction (HRI), and biologically inspired robotics, are becoming increasingly predominant. The chapter highlights the real-world applications of these techniques in various mechatronic tasks, including robotic control, adaptive systems, and autonomous vehicles, demonstrating their latent to improve system performance and adaptability. Furthermore, the ...