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Learner Reviews & Feedback for Robotics: Perception by University of Pennsylvania

4.4
stars
592 ratings
162 reviews

About the Course

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....

Top reviews

AD
Jan 31, 2021

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.

SK
Mar 31, 2018

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.

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101 - 125 of 158 Reviews for Robotics: Perception

By Deepak Y

Mar 28, 2020

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!

By Liyun L

Feb 26, 2017

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.

By Shengkai Z

Oct 26, 2018

Subtitles are generated by machines I think. Very many subtitles are wrong. It is very unfriendly to non-English speaking users.

By Jayant S

Jan 6, 2018

Extremely fast-paced course that gives a great overview of Perception but leaves a lot of things unexplained or without proofs.

By NICHOLAS P

Nov 25, 2020

Interesting material, the last programming assignment was very challenging. Lots of topics covered, a good introduction.

By Ruslan A

Aug 21, 2017

Very interesting and useful course. Professors give a lot of information. However, some explanations are not very clear.

By Tim O

Dec 10, 2016

Lots of good content, good explanations, and good pictures to explain things. I enjoyed the assignments too

By Mohammad H

Jul 10, 2019

very useful course. However it needs some supplementary materials in math. also more solved examples.

By Iftach F

Nov 6, 2016

very informative. the course is very demanding, due to very long lectures it is hard to stay in pace.

By Jesus F

Oct 20, 2016

Good course, but assignmets are too long, difficult and with no much help. Workload is overpassed

By Xiaotao G

Dec 16, 2018

It is hard compared to previous courses and need more time on it. But quite helpful!

By Rahul D

Mar 29, 2020

I was expecting Some implementation of the SFM pipeline from OpenCV or OpenMVG.

By Mike Z

Oct 10, 2018

Really good topic but the material can be improved a lot more.

And it's free !

By Shubham W

Aug 13, 2017

Excellent course!! Especially Bundle Adjustment was covered in good details.

By Jean K G R

Jan 24, 2021

In some activities, the theory wasn't enough to complete the assignments

By Ricardo A R

Feb 14, 2019

Need more videos for final weeks, hard to follow last week of the course

By Daniel C

Dec 23, 2018

To put it simply: Shi's content is good and Danniilidis' content is bad.

By Aman B

Jan 29, 2019

It was interesting, but damn the lectures are never ending.

By yanghui

Oct 27, 2017

a bit difficult to understand, anyway,finally passed!

By Ákos G

Sep 13, 2020

Good course, but the video subtitles are garbage.

By xiao z

May 3, 2020

need specific feed backs for those quizzes!!!

By li q

Aug 10, 2016

The lecture notes should be better organized.

By Luming

Sep 22, 2020

a little difficult for me,but learn a lot!

By Hussain M A

Oct 1, 2019

Hard course but lots of good insight.

By Martin X

Oct 23, 2016

The courses are good and helpful.