Free ebookComputer Vision for Robotics: A Beginner’s Guide to Seeing and Understanding

Course Description

Computer Vision for Robotics: A Beginner’s Guide to Seeing and Understanding is a practical ebook course designed to help you understand how robots perceive the world through cameras and depth sensors. If you are new to robotics vision, you will learn the foundations that turn raw pixels into reliable signals for navigation, manipulation, and autonomy in real environments.

You will start with image fundamentals for robotics, including pixels, color representation, and noise, then connect that knowledge to lenses, field of view, focus, distortion, lighting, and exposure control so your robot can see consistently across changing conditions. From there, the course guides you through camera calibration and coordinate frames, helping you align vision data with your robot model and onboard systems for accurate integration.

As you progress, you will build an intuitive workflow for real time computer vision using filtering and preprocessing pipelines, followed by feature detection and tracking with corners, edges, and optical flow. You will also learn core ideas behind segmentation and object detection, focusing on how these methods support robotics tasks where speed, robustness, and repeatability matter more than perfect images.

Depth sensing is covered with a clear comparison of stereo vision, structured light, time of flight, and monocular cues, so you can choose the right approach for your robot and environment. Practical robotics vision applications are woven throughout, including line detection and following, fiducial markers for localization and docking, obstacle detection, and free space estimation. You will also learn how to integrate vision with control and navigation while managing latency, sensor fusion, and reliability.

Finally, the course prepares you for real world deployment by addressing testing, debugging, and constraints common in robotics computer vision, such as performance limits, lighting variability, and hardware tradeoffs. Start this free ebook course today and build the skills to make robotic vision systems that work beyond the lab.