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Avis et commentaires pour d'étudiants pour Robotics: Perception par Université de Pennsylvanie

4.3
étoiles
623 évaluations
175 avis

À propos du cours

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....

Meilleurs avis

DA

31 janv. 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

31 mars 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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51 - 75 sur 173 Avis pour Robotics: Perception

par Rajeev K

24 févr. 2018

Course is nicely organized and helps even a novice without much in depth knowledge of image processing to understand the concepts

par Joe D

30 nov. 2016

Awesome material! I think this is the one course of the specialization that had the appropriate amount of work for the timeline.

par Srikanth V

17 oct. 2019

It is hard course, thoroughly enjoyed it. Lessons on how to effectively use vanishing points was very useful.

par 李晨曦

29 juil. 2017

Great lectures! I felt a little confused at the beginning , but everything makes sense by the end of class.

par Hamid M B

2 mars 2019

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

par Abdelrhman H N

13 mai 2016

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

par Liang L

26 déc. 2018

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

par Samuel D

12 mai 2016

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

par Lokesh B

27 mai 2018

This was by far the best course. Very difficult and complex. But it is worth studying

par Chinthaka A

24 mai 2019

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

par Abhishek G

20 mars 2017

Really good course for getting a sound foundation on geometry of computer vision.

par Bernardo M R J

13 août 2016

Excellent course, very nice field of research with a lot of space for innovation.

par Shakti D S

27 avr. 2016

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

Excellent.

par Abhiram S

11 janv. 2019

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

par Sunaada H M N

3 déc. 2019

The assignments were challenging and the course videos were really good

par Dilshan M

1 févr. 2020

Great in-depth course into the fundamentals of perception in robotics.

par Wong H

20 oct. 2016

Good course, lecturers do their best to give u an informative course

par Kaijun F

17 août 2020

Very good course. Good coverage of key concepts in computer vision.

par William M

11 mai 2020

This course provided an excellent first course in computer vision.

par Nikhil N L

15 janv. 2018

Absolutely amazing course! I really enjoyed it. Highly recommended

par 肖淑英

22 avr. 2018

It's a wonderful course! I got lots of view in 3D vision field.

par 陈鹏

11 janv. 2017

very good, I love this course, I learned many knowledge from it

par ABHILASHA R

15 oct. 2021

best course and very helpful . I have learnt a lot from it

par Hakeem K

5 mars 2019

I was motivated all through the course. Very good content

par UMAR T

4 mars 2020

Lot of linear algebra, calculus and matlab assignments