This book is devoted to recent advances in robotics and intelligent automation in Kazakhstan, with a strong focus on industrial applications, particularly in automotive manufacturing. It brings together the outcomes of national research initiatives and practical industrial case studies on the deployment of robotic systems at manufacturing enterprises, alongside engineering approaches to the development of flexible and reconfigurable production systems. The volume addresses architectural principles for cyber-physical robotic systems, learning-based manipulation strategies, and adaptive control methods, including the integration of reinforcement learning for collaborative robots and AI-driven solutions for human–robot interaction. Special attention is given to industrial mobile robots for in-plant transportation and intralogistics, covering design methodologies, dynamic analysis, control strategies, and operational constraints.