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Вернуться к Robotics: Perception

Отзывы учащихся о курсе Robotics: Perception от партнера Пенсильванский университет

Оценки: 611
Рецензии: 170

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.

Фильтр по:

101–125 из 167 отзывов о курсе Robotics: Perception

автор: Soon H Y

26 апр. 2020 г.

PROS: Introduces the most practical and essential concepts and algorithms

CONS: The workload is not evenly distributed across all 4 weeks, lecturer's explanation is mediocre and materials can be hard to follow.

автор: hiback

19 дек. 2018 г.

The lecture is pretty good, learned a lot from it.But there are some bugs in assignment's pdf. Fortunately, our community forum pointed out these errors. Hoping they could fix it for better understanding.

автор: Adi S

9 нояб. 2019 г.

The content is quite useful but the teaching can be improved upon through shorter videos and more animations instead of hand gestures (or static images) to explain mathematical derivations.

автор: SHAO G

16 июня 2017 г.

The content is not very easy to understand because the lecture speaks very fast and the document is not very sufficient. But in all, the content is good, help me with my research.

автор: Deepak Y

28 мар. 2020 г.

The concepts were explained very well and clearly. The last week content seemed a bit complicated to follow, but it was not unsolvable. I enjoyed the course. Thank you!

автор: Liyun L

26 февр. 2017 г.

The 4th week content is hard to follow than the previous three. It would be better if more detailed math and examples are provided in the 4th week.

автор: Shengkai Z

26 окт. 2018 г.

Subtitles are generated by machines I think. Very many subtitles are wrong. It is very unfriendly to non-English speaking users.

автор: Jayant S

6 янв. 2018 г.

Extremely fast-paced course that gives a great overview of Perception but leaves a lot of things unexplained or without proofs.

автор: Nick P

25 нояб. 2020 г.

Interesting material, the last programming assignment was very challenging. Lots of topics covered, a good introduction.

автор: Ruslan A

21 авг. 2017 г.

Very interesting and useful course. Professors give a lot of information. However, some explanations are not very clear.

автор: Timothy O

10 дек. 2016 г.

Lots of good content, good explanations, and good pictures to explain things. I enjoyed the assignments too

автор: Mohammad H

10 июля 2019 г.

very useful course. However it needs some supplementary materials in math. also more solved examples.

автор: Iftach F

6 нояб. 2016 г.

very informative. the course is very demanding, due to very long lectures it is hard to stay in pace.

автор: Jesus F

20 окт. 2016 г.

Good course, but assignmets are too long, difficult and with no much help. Workload is overpassed

автор: Xiaotao G

16 дек. 2018 г.

It is hard compared to previous courses and need more time on it. But quite helpful!

автор: Rahul D

29 мар. 2020 г.

I was expecting Some implementation of the SFM pipeline from OpenCV or OpenMVG.

автор: Mike Z

10 окт. 2018 г.

Really good topic but the material can be improved a lot more.

And it's free !

автор: Shubham W

13 авг. 2017 г.

Excellent course!! Especially Bundle Adjustment was covered in good details.

автор: Jean K G R

24 янв. 2021 г.

In some activities, the theory wasn't enough to complete the assignments

автор: Ricardo A R

14 февр. 2019 г.

Need more videos for final weeks, hard to follow last week of the course

автор: Daniel C

23 дек. 2018 г.

To put it simply: Shi's content is good and Danniilidis' content is bad.

автор: Bhavya G G

20 апр. 2021 г.

Very detailed course. Need to think on your to clear all the concepts

автор: Aman B

29 янв. 2019 г.

It was interesting, but damn the lectures are never ending.

автор: yanghui

27 окт. 2017 г.

a bit difficult to understand, anyway,finally passed!

автор: Ákos G

13 сент. 2020 г.

Good course, but the video subtitles are garbage.