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How can robots perceive the world and their own movements so that they can perform navigation and manipulation tasks? In this module, we will study how images and videos acquired by cameras mounted on robots are transformed into representations such as features and optical flow. Such 2D representations allow us to extract 3D information about where the camera is and in which direction the robot is moving. You will come to understand how grasping objects is facilitated by calculating the 3D presentation of objects and navigation can be achieved by visual odometry and landmark based localization.
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Professor of Computer Science and Information Sciences.
School of Engineering and Applied Sciences.
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