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Opiniones y comentarios de aprendices correspondientes a Robotics: Perception por parte de Universidad de Pensilvania

4.4
456 calificaciones
120 revisiones

Acerca del Curso

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....

Principales revisiones

SK

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.

LR

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.

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1 - 25 de 119 revisiones para Robotics: Perception

por Joaquin R

Sep 05, 2018

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 understandable.

The level of the course is way too difficult. I have a bachelor in computer science, a master in computer science and a bachelor in mathematics, so I don't think the problem is the material, but how it's teached. You are supposed to solve very complicated assigments just with the videos and that's a too big challenge. They don't spend the time with examples and detailed approach.

Thanks god that the course has been active for several years and there's enough help in the forums. By the way, people in the forums complaint about the poor support of the teachers and assistants in the forums.

Very bad course in general.

por SH H H

Dec 02, 2016

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

por LIANG X

May 09, 2016

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

por JAVIA P M

Jun 26, 2018

For Computer Vision enthusiast who wants to learn about Multiple View Geometry, this is the best beginner course

por Rafael C

May 21, 2016

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

por Rob S

Oct 17, 2016

The content is very good but the lecture presentation and structure could use improvement. Assignment instructions are not as clear as they could be.

por Mohammad H

Jul 10, 2019

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

por Tiandong W

Jul 02, 2019

It's a nice introduction, but a lot of details are not well explained. A lot of typos in homework, epecially in Equations. This is very bad for UX. And few of mentors are maintaining this course. If you ask questions in forum, you can not get repsonse quickly. I suggest that mentors should spend some time to correct typos and upload some supplement materials.

por Qirui Z

Jun 06, 2019

Still some errors in the homework PDF (The codes are all working though). And the curriculum seems a little bit redundant. Also hope there will be more emphasis on emerging applications like visual odometry and SLAM, in stead of spending too much time on the ancient geometry (It's not expected to always have a checkerboard in your image? :-) ).

por Xu D

May 27, 2019

Love this!

por Chinthaka A

May 24, 2019

Great course, I been able to develop new skills and knowledge. Highly Recommended.

por Lokesh

May 08, 2019

The course content is exceptionally well and material is well designed. Since most of the concepts are in-depth more support will be required in discussion forums. I feel the response from mentors is slow and have to wait days for their reply to clarify the doubts.

por DEEPAK K P

Apr 10, 2019

Not at all formulated for bachelors

por Bálint - H F

Mar 20, 2019

Great !

por dawn

Mar 12, 2019

Thanks to Coursera and Penn, Good lessons of Robotics.

por Martin Z

Mar 06, 2019

There were a lot of error in the materials even after all those years. Also the instructor's English is hard to understand sometimes. In addition to that they do a lot of waving around with their hands instead of marking things directly in the pictures.

por Hakeem K

Mar 05, 2019

I was motivated all through the course. Very good content

por Hamid M B

Mar 02, 2019

One of the most usefful courses I have taken by the coursera. Thank you for useful materail covered here.

por Ricardo A R

Feb 14, 2019

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

por Fredo P C

Feb 03, 2019

Great Course!

por Aman B

Jan 29, 2019

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

por pavana a S

Jan 11, 2019

Great course!. There is a lot of information. It should be a 6 week course!

por Luis A D R

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.

por Liang L

Dec 27, 2018

The professors have very detailed description, and the programming assignments are valuable.

por Daniel C

Dec 23, 2018

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