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Retour à Robotics: Estimation and Learning

Avis et commentaires pour d'étudiants pour Robotics: Estimation and Learning par Université de Pennsylvanie

490 évaluations

À propos du cours

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....

Meilleurs avis


15 févr. 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.


5 févr. 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 sur 109 Avis pour Robotics: Estimation and Learning

par Shounak D

23 mai 2018

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

par Mohammadjavad G V

24 juil. 2021

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

par Kapi K M

7 mars 2020

The course was comprehensive and gave a hands-on experience

par Akshay S

2 nov. 2016

Really nice course with a lot of good content.

par Huang C

26 mars 2020

Excellent course. Week 3 and Week 4 is good!

par Akhilesh K

6 sept. 2017

Challenging but great course to learn.

par Guillermo C

21 août 2017

Challenging and very well delivered.

par Jianxin L

13 oct. 2017

It is a good course, like it.

par Aryan A

21 sept. 2018

Great course learnt a lot !!

par Utku K

11 oct. 2016

Very good and informative.

par 丘广俊

22 févr. 2017

It make me to know more!

par Talha Y

12 juin 2016

veryyyyyyyyyyyyy good

par Abhishek G

11 sept. 2016

Highly recommended!!

par Bálint - H F

20 mars 2019

Great ! Difficult !

par 王維煜

16 oct. 2016


par Syed M Z T

8 juin 2020

Excellent course!

par Kor01 F

19 janv. 2018

robust material

par 周天宇

9 oct. 2017


par jiqirenzhifu

11 août 2017


par 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.

par Shan J

7 août 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.

par 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.

par Alexandre M

9 mars 2021

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

par Abdulbaki

28 mars 2018

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

par Hussain M A

6 juin 2019

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