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Robotics: Perception

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How can robots perceive the world and their own movements so that they accomplish navigation and manipulation tasks? In this module, we will study how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow. Such 2D representations allow us then to extract 3D information about where the camera is and in which direction the robot moves. You will come to understand how grasping objects is facilitated by the computation of 3D posing of objects and navigation can be accomplished by visual odometry and landmark-based localization.

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Explore the fascinating world of robotics perception with this professional-level course on Coursera. Learn how robots use cameras to transform images and videos into 2D representations for extracting 3D information crucial for navigation and manipulation tasks. Understand the intricacies of grasping objects through 3D posing and achieving navigation via visual odometry and landmark-based localization. Ideal for science and engineering enthusiasts, the course offers 1980 minutes of in-depth content with both Starter and Professional subscription options.