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Вернуться к Robotics: Perception

Отзывы учащихся о курсе Robotics: Perception от партнера Пенсильванский университет

Оценки: 610
Рецензии: 169

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

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.

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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151–167 из 167 отзывов о курсе Robotics: Perception

автор: Wahyu G

15 авг. 2018 г.

Very though and little help in the discussion forum

автор: Alejandro A V

3 мая 2016 г.

The videos are so long in time and not very clear.

автор: Yiğit U

29 апр. 2016 г.

Lessons and videos are very long for one week.

автор: Deepak P

10 апр. 2019 г.

Not at all formulated for bachelors

автор: Yingxuan Z

24 мар. 2020 г.

I took this course as I wanted to develop more skills in computer vision. To me the course seems to be an abridged upper-year college course. The course presumes a strong linear algebra understanding, as the instructors didn't spare much time on explaining the linear algebra concepts. Therefore a refresher for linear algebra as a course handout would be very helpful. The first half of the course are really good - instructions are clear and assignments and quizes are instrumental to understanding. However, progressing to the second half of the course, the instructors rushed to different concepts without properly linking them. And you can tell the disorganization from the way they present - they tend to pause intermittently, repeat the same content, speak grammatically incorrectly. There are significantly more typos in the course notes as well. I would give a 5-star if the course is of consistent good quality, but unfortunately it is not.

автор: Chris F

8 мая 2016 г.

Professors very hard to understand, and videos don't have the best editing.

Also extremely math heavy, lectures being just math formulas, without a lot of real life applicability (ex. the assignments where you have to project a logo, or cube, when the program gives you the location corners in a file, which will NEVER happen when you use your camera; finding that position is a pre-requisite of the entire program)

автор: Kyle Z

4 сент. 2016 г.

Lots of cutting edge mathematical and computer vision concepts, but a serious lack of support. No technical staff around to help, only one or two examples of how the math works, and a general poor explanation of the concepts.

This course is not for beginners, and I recommend you steer clear if you do not posses at minimum a bachelors in mathematics.

автор: Hasan T

17 сент. 2016 г.

The videos should be completely reconsidered. Instructors pointing at virtual points on screen does not help at all. The course creators tried to squeeze in many concepts in 4 weeks. More examples should be provided in lectures, not just abstract math (e.g. lectures on projective transformation).

автор: Fengwen S

27 апр. 2020 г.

Lack of derivation on most of the mathematics. Poor explanation on half of the topics. Lack of diagrams or animations as s supplementary for some complicated subjects. Poor-designed programming assignments which fail to cover some of the topics mentioned in the slides

автор: David L

19 мая 2016 г.

This course should have been very good. Lots of detail. But the material is not presented very clearly. The Assignments are also not setup so that it is easy to fix your work. It either passes, or you get minimal feedback.

автор: Guney K

22 янв. 2020 г.

Compared to other courses I've taken on Coursera (15+) this was very poor quality - both the content and presentation. I wish there were better a better course on this topic on Coursera.

автор: Liran M

18 авг. 2021 г.

I​t's very difficult to understand the lecturers both in term of language and clearity of explanations.

автор: Dení S

8 сент. 2019 г.

To difficult to follow.

автор: Celso L B d M

13 янв. 2021 г.

The English of the teachers is god awful and the explanations are even worse. Honestly do not recommend this course. Try instead the perception course at the U of Toronto self-driving car specialization.

автор: Eli K

10 мая 2021 г.

The material in this course is explained very poorly.

автор: Akash S

3 мая 2020 г.

Very bad communication pronunciation and grammar

автор: Matthias K

5 сент. 2020 г.

I need help