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University of Pennsylvania

Robotics: Perception

University of Pennsylvania via Coursera


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.

Taught by

Kostas Daniilidis and Jianbo Shi


3.0 rating, based on 3 Class Central reviews

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  • Indranil Sinharoy

    Indranil Sinharoy completed this course.

  • Dedim Guelbe Appolinaire completed this course.

  • Jan Tatham completed this course.

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