COMP 6840 - AI in Robotics 3

This introductory course provides a comprehensive foundation in the interconnected fields of Artificial Intelligence (AI) and Robotics. Students will explore the fundamental concepts that enable machines to perceive, reason, plan, and act in the world. The first half of the course focuses on core AI principles, including the nature of intelligent agents, classical problem-solving via informed and uninformed search algorithms, logical knowledge representation (First-Order Logic), and handling uncertainty using probability and Bayesian networks. The second half integrates these AI concepts with the physical realities of robotics. Topics cover the mechanical and computational aspects of robots, including kinematics (Forward and Inverse), control systems, sensing, and perception. Students will gain practical experience using foundational Machine Learning models for robotic perception and will be introduced to key robotic frameworks like the Robot Operating System (ROS) for simulation, localization (SLAM), and motion planning. Through hands-on programming assignments and a capstone final project on a simulated robotic platform, students will learn to design, implement, and analyze intelligent robotic systems, while also engaging in critical discussions about the ethical and societal implications of this transformative technology. Prerequisite(s): COMP 5480 Artificial Intelligence. (New Course) Hybrid