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Robotics: Perception に戻る

ペンシルベニア大学(University of Pennsylvania) による Robotics: Perception の受講者のレビューおよびフィードバック



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....



Apr 01, 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.


Jan 01, 2019

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.


Robotics: Perception: 51 - 75 / 127 レビュー

by Junheng Z

Aug 09, 2016

It is great. Teacher explain those idea clearly

by qiang l

Dec 30, 2016

Very useful course, interesting topics !

by Troy W

May 11, 2016

Very solid material, a must-have course.

by Chuck

May 16, 2017

pretty good for vision based perception

by Lihao W

Jun 30, 2018

Good course but a little hard for me.

by Shawfy

Sep 18, 2018

Extremely wonderful the coursera is.

by Walter J

Apr 25, 2016

Apasionante tema. Muy bien expuesto

by Yuan J

Aug 15, 2018

excellent course for slam learning

by Akhilesh K

Sep 01, 2017

Challenging and enjoyable course!

by Guillermo C

Aug 21, 2017

Challenging, very well delivered.

by K0r01

Dec 29, 2017

good materials for visual SLAM

by jiqirenzhifu

Aug 28, 2017

I have gained a lot 。thank you

by Qiu Q

Jun 20, 2016

very good assignment!

by Terry Z

Jan 12, 2018

Very useful course!

by 徐恩科

Sep 05, 2018

very good course.

by Ng B K

Aug 06, 2016

Love the course.

by Daniel W

Jan 02, 2017

Great course!

by Aryan A

Aug 20, 2018

Great course

by 张浩悦

Aug 31, 2017



by Xu D

May 27, 2019

Love this!

by Meshal A

May 30, 2017


by Bálint - H F

Mar 20, 2019

Great !

by 杨镑镑

Aug 19, 2016


by Eduardo K d S

Sep 16, 2016

This course is great! There is a lot of information available, a wide range of topics are covered, some complex subjects are explained quite well and especially the Chinese professor makes it easy to understand them.

Still, there is room for improvement. Considering this is a 4-week course and the coverage of the material, sometimes it feels too squeezed and cramped together. This could be improved by providing access to more references to other materials to complement the studies. A bibliography for instance would be much welcome.

Also there are some annoying typos in the slides in the formulas and its derivations that can cost you some precious time to figure out, especially during the Matlab assignments.

These are the only reasons I don't give this course 5 stars, but it's definitely worthwhile. You will not regret it!

by Sourav G

Feb 20, 2018

It was really an interesting course and is recommended for those interested in Vision-based applications for their robots, especially dealing with motion estimation, visual odometry, visual SLAM, image matching using local point features (SIFT) etc. The course did help a lot in brushing up some concepts from undergrad and using them to create some amazing codes through assignments.

There are few things that can be improved, for example, some of the videos in the course lack proper explanation and it took a while to understand. Some of the quizzes comprise questions to which answers cannot be derived using the course content (AFAIU). The inverse depth parameterization-based direct pose estimation is not covered (e.g. as in LSD-SLAM).