AI in Robotics and Automation
Jeet Shah, Shyamala Nagendran · 2025
Artificial intelligence (AI) is transforming the field of robotics and automation by providing enhanced sensory and perception capabilities while bringing advanced control and decision-making to these devices. The state-of-the-art methodologies in the domains of AI, machine learning, deep learning, and reinforcement learning being integrated into robotic and automated systems are explored. Key topics include AI for advanced control systems, vision, natural language processing, and path planning. These areas will be elucidated to demonstrate how they achieve higher autonomy and productivity. The theoretical perspectives include mathematical modeling, optimization, and control theory, with special emphasis on the role of AI in complex robots and applications of automation. Practical applications of AI, such as autonomous vehicles, drones, and industrial automation, are significantly changing lives. Furthermore, the ethical, legal, and social implications are addressed, including major challenges and future trends in explainable AI and quantum computing. By using examples from the industry, the impact of AI on robotics and automation is illustrated, presenting a distinct roadmap for future development and innovation.