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Bewertung und Feedback des Lernenden für Robotics: Estimation and Learning von University of Pennsylvania

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491 Bewertungen

Über den Kurs

How can robots determine their state and properties of the surrounding environment from noisy sensor measurements in time? In this module you will learn how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Specific topics that will be covered include probabilistic generative models, Bayesian filtering for localization and mapping....

Top-Bewertungen

VG

15. Feb. 2017

The material is clearly presented. The Matlab exercises complement and reinforce the subject, the level of difficulty is well balanced, thanks for this great course.

DA

5. Feb. 2021

This course was interesting but I think the video material was too shallow and not detailed enough. The assignment for Week 4 was extremely challenging!

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26 - 50 von 109 Bewertungen für Robotics: Estimation and Learning

von Shounak D

23. Mai 2018

good course ..expecting more follow up courses on this topic !

von Mohammadjavad G V

24. Juli 2021

I really needed such a course to dive into SLAM. Thanks a lot

von Kapi K M

7. März 2020

The course was comprehensive and gave a hands-on experience

von Akshay S

2. Nov. 2016

Really nice course with a lot of good content.

von Huang C

26. März 2020

Excellent course. Week 3 and Week 4 is good!

von Akhilesh K

6. Sep. 2017

Challenging but great course to learn.

von Guillermo C

21. Aug. 2017

Challenging and very well delivered.

von Jianxin L

13. Okt. 2017

It is a good course, like it.

von Aryan A

21. Sep. 2018

Great course learnt a lot !!

von Utku K

11. Okt. 2016

Very good and informative.

von 丘广俊

22. Feb. 2017

It make me to know more!

von Talha Y

12. Juni 2016

veryyyyyyyyyyyyy good

von Abhishek G

11. Sep. 2016

Highly recommended!!

von Bálint - H F

20. März 2019

Great ! Difficult !

von 王維煜

16. Okt. 2016

好極了,有中文的字幕,非常輕鬆,謝謝!

von Syed M Z T

8. Juni 2020

Excellent course!

von Kor01 F

19. Jan. 2018

robust material

von 周天宇

9. Okt. 2017

希望理论部分讲的再深入些!

von jiqirenzhifu

11. Aug. 2017

nice

von yanghui

15. Nov. 2017

Great course ,very interesting ,for student with little background like me ,I think more supplemetary materials is needed to get full understanding of such a tough course.thank you,Professor Lee and all the teaching staff.

von Shan J

7. Aug. 2016

Lesson 1 and Lesson 3 are clear. However, homework in Lesson 2 and Lesson 4 is hard to finish because of too few materials in the lesson. Overall, it is a fairly good course.

von Liu Z

27. Nov. 2016

Week 1 and Week 3 are organized much better than Week 2 and Week 4. If you don't have enough time, I recommend that you focus on Week 1 and 3.

von Alexandre M

9. März 2021

Good course with a good overview of main algorithm in robotics such as Kalman filters or Particle filters. Assignments are challenging

von Abdulbaki

28. März 2018

First 2 Week was very good but I think Mapping and Localization parts were not covered throughly. There should have been more detail.

von Hussain M A

6. Juni 2019

Course content needs researching on the internet as well. And course assignments are good learning experience but need research too.