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.
This course is part of the Robotics Specialization
About this Course
Skills you will gain
- Computer Vision
- Random Sample Consensus (Ransac)
Syllabus - What you will learn from this course
Geometry of Image Formation
- 5 stars59.96%
- 4 stars24.96%
- 3 stars7.53%
- 2 stars4.08%
- 1 star3.45%
TOP REVIEWS FROM ROBOTICS: PERCEPTION
This course was truly amazing. It was challenging and I learned a lot of cool stuff. It would have been better if more animations were included in explaining complex concepts and equations.
This is quite challenging course. So far, this is the course with the largest amount of material, I wish the class will be split into two courses.
Interesting material, the last programming assignment was very challenging. Lots of topics covered, a good introduction.
Extremely fast-paced course that gives a great overview of Perception but leaves a lot of things unexplained or without proofs.
About the Robotics Specialization
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