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Отзывы учащихся о курсе Robotics: Perception от партнера Пенсильванский университет

4.3
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Оценки: 624

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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151–173 из 173 отзывов о курсе Robotics: Perception

автор: Timothy M

9 июля 2017 г.

some interesting material. The Slides for week 2 and 4 are terrible, too condensed with very little explanation on difficult topics. The Homeworks are pretty interesting, the assignments for week 3 and 4 complement eachother very well. the week 2 Kalman filter assignment didn't seem to work. I submitted something in frustration and was very surprised that it was accepted.

автор: Volodymyr K

15 июня 2016 г.

I really loved the dense collection of relevant information, this course is a great introduction to computer vision-related algorithms.

Unfortunately the lecture videos are poorly edited and subtitles are inaccurate, however the slides are quite good and verbose enough to understand every topic.

Assignments are quite good, however formula derivation explanations could be better.

автор: 王天东

2 июля 2019 г.

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.

автор: Pranav K

15 авг. 2020 г.

The content in the course and the expanse of knowledge covered is excellent. I would suggest that course be more organized in terms of terminology and usage of symbols. It does take time, but using different notations while explaining the same concepts causes confusion, at least during the learning phase. Overall a great course.

автор: Ray.Gong

3 мая 2018 г.

The content is undoubtedly valuable and instructive, but for some topics in week 3 & 4 the content isn't organized in a good order. Most importantly, no one answers my questions in the forum, and I felt helpless when the lecturer and slides fail to clearly explain some complex concepts.

автор: Rahul H

28 дек. 2021 г.

The course had a lot of useful content and a lot of information. Although the presentation was not that good. The slides could have used more of text, there were only formula and images. Week 4 exercise could have been given a little more clearly in the Exercise sheet.

автор: Martin Z

6 мар. 2019 г.

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.

автор: Fabio B

4 авг. 2017 г.

The course is excellent is computer vision! The only problem it is not didactic at all, so if you don't are familiar with this content it will be very hard (even impossible) to follow.

автор: Casey B

29 авг. 2018 г.

Lectures sometimes scattered and hard to follow. More advanced visuals would be helpful for such a visual subject vs watching lecturers wave hands and point at things.

автор: Adarsh S

29 апр. 2020 г.

Topics are good and comprehensive, but videos are long and difficult to follow, with a lot of additional research necessary to truly understand the concepts.

автор: Francisco C M

6 мая 2020 г.

The content was great and not so easy, you need good math-linear algebra background, bur for some reason I didn't enjoy the course :/

автор: Andrey S

13 апр. 2017 г.

Too much theory and projects didn't related with real life problems.

автор: Christos P

22 дек. 2020 г.

Visual Perception (Computer Vision) < Perception

Too math oriented

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: 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: 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: Omar E

21 июня 2022 г.

Content feels all over the place, the instructors explaining is lacking, generally an uninteresting course for the topic matter

автор: Mohammed A 2

22 июня 2022 г.

Very bad illustrations, the instructors are explaining using thier hands in the air, how can I know which line is he referring to while he is showing with his hands in air ?

Bad visual aids

Bad preparation, most of the time the instructors appear that they are just reading a script, not explaining

fun fact; that in one of the videos the instructor was confused and then said "I will repeate again" and then continue reading the script

автор: 刘昊戈

6 мая 2022 г.

Worst course ever had on Coursera. Bad illustrations and cumbersome body languages just make the explanation of the concepts more confusing. Maybe the Andrew Ng's machine learning and deep learning specialization are just too good, so that it makes me feel this course is unacceptably bad.

автор: Matthias K

5 сент. 2020 г.

I need help