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

4.4
498 calificaciones
128 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 124 revisiones para Robotics: Perception

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 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 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 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 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 Giuseppe V G

Jun 18, 2016

Very good course. The only thing that I would suggest is an higher precence of moderators in the forum. It would be very appreciated.

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 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 pavana a S

Jan 11, 2019

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

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 Hakeem K

Mar 05, 2019

I was motivated all through the course. Very good content

por dawn

Mar 12, 2019

Thanks to Coursera and Penn, Good lessons of Robotics.

por Bálint - H F

Mar 20, 2019

Great !

por Liang L

Dec 27, 2018

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

por Abdelrhman H N

May 13, 2016

Solid Material as an introductory course and gives glimpse on the new horizons on computer vision.

por Nico W

Feb 05, 2017

Interesting material, presented well, very on-top and supportive TAs. I wish the second assignment had been the first assignment (the current first assignment is very basic and can be scrapped), so that the 4th assignment could be about implementing bundle adjustment.

por Troy W

May 11, 2016

Very solid material, a must-have course.

por Walter J

Apr 25, 2016

Apasionante tema. Muy bien expuesto

por Lihao W

Jun 30, 2018

Good course but a little hard for me.

por Samuel D

May 13, 2016

Very good. Teachers worked hard. Practical and quite comprehensive for such short term.

por Reynaldo M G

Feb 13, 2018

This course is a tough one, the assignments are challenging. One problem with teh course is the use of english subtitles, there some errors on mathematical terms that makes more difficult to understand what is being explained (and sometimes the teachers' english is not very clear).

por Meshal A

May 30, 2017

Fantastic!

por Shakti D S

Apr 27, 2016

So many interesting concepts and theories, packed in a 4 week course.

Excellent.

por Philippe W

Jan 11, 2017

This course is excellent: lots of things covered in depth, learning curve is high, detailed explanations with lots of examples; If you want to ramp up quickly on Structure for Motion or Visual Odometry, Visual SLAM, this is highly recommended. But be prepared to put some real effort in this demanding course. Overall one of the best MOOC I took. Programming assignments and especially the last one are *very* interesting. It's great to have such courses that are available for everybody. Pre-requisites are linear algebra (eigenvalues, eigenvectors, Jacobian, Hessian ...) and familiarity with matlab (but people familiar with numpy should easily ramp up). For people not familiar with matlab there are also some very nice matlab tutorials in the resources. Highly recommended.

por 杨镑镑

Aug 19, 2016

Great!