This guide offers an in-depth exploration of how artificial intelligence is reshaping the field of robotics. Bridging theory and application, this book is designed for engineers, researchers, and forward-thinking technologists working at the intersection of AI, robotics, and safety-critical systems. With the increasing deployment of autonomous machines across manufacturing, healthcare, logistics, and defense, this resource provides essential insights into building intelligent, adaptive, and ethically sound robotic systems equipped for real-world tasks. • Explore how machine learning enables robots to perceive, adapt, and learn from complex environments, empowering systems to autonomously improve performance through interaction and feedback. • Understand the integration of generative AI models in robot behavior and design, where advanced algorithms simulate scenarios, generate adaptive actions, and optimize form and function. • Dive into key design principles for safe robotic systems, including redundant controls, fail-safe mechanisms, and human-in-the-loop architectures critical for real-world deployment. • Gain insight into real-time robot perception and decision-making, where AI enables contextual understanding, object recognition, and sensor fusion for accurate situational awareness. • Learn how reinforcement learning and imitation learning empower robots to acquire new skills in dynamic environments, contributing to continuous improvement and operational flexibility. • Connect current robotic intelligence to broader AGI developments, examining the convergence of cognitive architectures, autonomy, and ethical frameworks in shaping next-generation robotics. Whether you're developing autonomous drones, robotic arms, or humanoid assistants, AI in Robotics: Learning, Design & Safety equips you with the foundational and advanced knowledge needed to lead in this transformative domain of intelligent machines.