This course focuses on the design, control, and implementation of autonomous robotic systems. Students will explore advanced topics in perception, localization, decision-making, and navigation for autonomous systems operating in dynamic and uncertain environments. Emphasis will be placed on integrating sensors, machine learning, and control algorithms to enable autonomy in mobile robots, drones, and other robotic platforms. Topics include path planning, multi-robot coordination, environmental mapping (SLAM), human-robot interaction, and safety in autonomous systems. Students will apply theoretical concepts through team-based projects, culminating in the design, simulation, and implementation of an autonomous robotic system for real-world applications. This course prepares students for advanced roles in robotics and autonomous system design. Prerequisites: EL-262, ROB-300. (3-0-3)