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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very informative. the course is very demanding, due to very long lectures it is hard to stay in pace.
Interesting material, the last programming assignment was very challenging. Lots of topics covered, a good introduction.
Lots of good content, good explanations, and good pictures to explain things. I enjoyed the assignments too
The concepts were explained very well and clearly. The last week content seemed a bit complicated to follow, but it was not unsolvable. I enjoyed the course. Thank you!