This session investigates the integration of AI in robotics, focusing on perception, decision-making, and control systems. Topics include SLAM (Simultaneous Localization and Mapping), reinforcement learning for robotics, and multi-agent systems. Real-world applications such as warehouse automation, drone navigation, and surgical robots will be discussed. The session will also consider hardware-software co-design, sensor fusion, and human-robot interaction. Current challenges in autonomy, including safety and generalizability, will be highlighted through live case studies and simulation demos.