COURSE

ROAS4360

Computer Vision for Robotic Systems

Systems Hub / Robotics and Autonomous Systems · 3 Credits

This course provides an in-depth exploration of computer vision techniques and their applications in robotic systems. Students will learn the fundamental concepts of image processing, feature extraction, and machine learning as they relate to the interpretation of visual data. The curriculum covers a range of topics including object detection, tracking, image segmentation, and 3D reconstruction, as well as the integration of vision systems into robotic platforms. Through a combination of theoretical lectures and hands-on projects, students will gain practical experience in designing and implementing computer vision algorithms for real-world robotic applications. By the end of the course, students will be equipped with the skills necessary to enhance robotic autonomy and interaction through advanced visual perception.