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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.

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51–75 из 167 отзывов о курсе Robotics: Perception

автор: Shakti D S

27 апр. 2016 г.

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


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


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

автор: dawn

11 мар. 2019 г.

Thanks to Coursera and Penn, Good lessons of Robotics.

автор: Junheng Z

9 авг. 2016 г.

It is great. Teacher explain those idea clearly

автор: Muhammad N

10 мая 2020 г.

Good experience while studying this course

автор: qiang l

29 дек. 2016 г.

Very useful course, interesting topics !

автор: Troy W

11 мая 2016 г.

Very solid material, a must-have course.

автор: Chuck

16 мая 2017 г.

pretty good for vision based perception

автор: Lihao W

30 июня 2018 г.

Good course but a little hard for me.

автор: Shawfy

18 сент. 2018 г.

Extremely wonderful the coursera is.

автор: Walter J

25 апр. 2016 г.

Apasionante tema. Muy bien expuesto

автор: Yuan J

15 авг. 2018 г.

excellent course for slam learning

автор: Akhilesh K

1 сент. 2017 г.

Challenging and enjoyable course!

автор: Guillermo C

21 авг. 2017 г.

Challenging, very well delivered.