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Вернуться к Robotics: Perception

Отзывы учащихся о курсе Robotics: Perception от партнера Пенсильванский университет

4.3
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Оценки: 625

О курсе

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....

Лучшие рецензии

DA

31 янв. 2021 г.

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 мар. 2018 г.

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 из 173 отзывов о курсе Robotics: Perception

автор: Rajeev K

24 февр. 2018 г.

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

автор: Joe D

30 нояб. 2016 г.

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

автор: Srikanth V

17 окт. 2019 г.

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

автор: 李晨曦

29 июля 2017 г.

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

автор: Hamid M B

2 мар. 2019 г.

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

автор: Abdelrhman H N

13 мая 2016 г.

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

автор: Liang L

26 дек. 2018 г.

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

автор: Samuel D

12 мая 2016 г.

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

автор: Lokesh B

27 мая 2018 г.

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

автор: Chinthaka A

24 мая 2019 г.

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

автор: Abhishek G

20 мар. 2017 г.

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

автор: Bernardo M R J

13 авг. 2016 г.

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

автор: Shakti D S

27 апр. 2016 г.

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

Excellent.

автор: Abhiram S

11 янв. 2019 г.

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

автор: Sunaada H M N

3 дек. 2019 г.

The assignments were challenging and the course videos were really good

автор: Dilshan M

1 февр. 2020 г.

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

автор: Wong H

20 окт. 2016 г.

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

автор: Kaijun F

17 авг. 2020 г.

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

автор: William M

11 мая 2020 г.

This course provided an excellent first course in computer vision.

автор: Nikhil N L

15 янв. 2018 г.

Absolutely amazing course! I really enjoyed it. Highly recommended

автор: 肖淑英

22 апр. 2018 г.

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

автор: 陈鹏

11 янв. 2017 г.

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

автор: ABHILASHA R

15 окт. 2021 г.

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

автор: Hakeem K

5 мар. 2019 г.

I was motivated all through the course. Very good content

автор: UMAR T

4 мар. 2020 г.

Lot of linear algebra, calculus and matlab assignments