This course explores the design of intelligent robot behaviors using modern artificial intelligence techniques. Students will work with a provided robot platform equipped with ROS 1/2, SLAM, a vision-based robotic arm, and multimodal input capabilities. The course begins with foundational knowledge in ROS and SLAM, followed by robot kinematic manipulation and path planning. In the latter half, students will learn to integrate machine learning techniques—such as object detection, large language models (LLMs), and reinforcement learning (RL)—to enable perception-driven, interactive, and goal-directed robotic behaviors. The course culminates in a final team project where students design and implement an intelligent robotic system capable of performing real-world tasks.
