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.
About this Course
Skills you will gain
- 5 stars59.90%
- 4 stars25%
- 3 stars7.54%
- 2 stars4.08%
- 1 star3.45%
TOP REVIEWS FROM ROBOTICS: PERCEPTION
Outstanding Course! I could always count on Prof.Jianbo to crunch some of the most complex and confusing parts of the course into a much easier understandable language.
One of the most usefful courses I have taken by the coursera. Thank you for useful materail covered here.
Interesting material, the last programming assignment was very challenging. Lots of topics covered, a good introduction.
The 4th week content is hard to follow than the previous three. It would be better if more detailed math and examples are provided in the 4th week.
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