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University

The course is from one of the top universities of the world - University of Pennsylvania.

Price

This course costs very less.

Difficulty

78% of the students have found this course difficult.

Content

76% of the students have liked the content of this course.

Assignments

82% of the students have liked the assignments of this course.

Teaching

80% of the students have liked how the instructor has taught this course.

Satisfaction

78% of the students are overall satisfied with this course.

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Robotics: Perception

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29 hours
English
University of Pennsylvania
Course by
CourseraCourses from Coursera
Certificate awarded
For Rs. 2182
Intermediate
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Checklist

Certification

You will get a certificate on completing this course.

University

The course is from one of the top universities of the world - University of Pennsylvania.

Price

This course costs very less.

Difficulty

78% of the students have found this course difficult.

Content

76% of the students have liked the content of this course.

Assignments

82% of the students have liked the assignments of this course.

Teaching

80% of the students have liked how the instructor has taught this course.

Satisfaction

78% of the students are overall satisfied with this course.

Edvicer's Rewards

You can get a reward of 200 coins on buying this course. These coins can be redeemed for 1 coin= 1Re.

Why should you choose this course?

Description

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.

Syllabus

Geometry of Image Formation
Projective Transformations
Pose Estimation
Multi-View Geometry

What others say about this course

Reviews from Coursera

The english of the teachers is difficult to understand. Is good to know that you can become a professor of Penn university with that english, but to be in front of a camere they should select somebody   Read More ...

Sloppy, unorganized, and poorly presented. Try the similar class on EdX and YouTube for a much better and clear explanation and presentation.

The least comprehensive course I ever took. It needs very good prerequisite about computer vision. And the demostration was very poor.

The assignments and weekly work is by far much more than the hours estimated. Finally I feel as I didn't learn anything.

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.

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