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
Extremely fast-paced course that gives a great overview of Perception but leaves a lot of things unexplained or without proofs.
Interesting material, the last programming assignment was very challenging. Lots of topics covered, a good introduction.
The content is not very easy to understand because the lecture speaks very fast and the document is not very sufficient. But in all, the content is good, help me with my research.
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!
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