Chevron Left
Back to Robotics: Estimation and Learning

Learner Reviews & Feedback for Robotics: Estimation and Learning by University of Pennsylvania

491 ratings

About the Course

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 reviews


Feb 15, 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.


Feb 5, 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!

Filter by:

26 - 50 of 109 Reviews for Robotics: Estimation and Learning

By Shounak D

May 23, 2018

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

By Mohammadjavad G V

Jul 24, 2021

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

By Kapi K M

Mar 7, 2020

The course was comprehensive and gave a hands-on experience

By Akshay S

Nov 2, 2016

Really nice course with a lot of good content.

By Huang C

Mar 26, 2020

Excellent course. Week 3 and Week 4 is good!

By Akhilesh K

Sep 6, 2017

Challenging but great course to learn.

By Guillermo C

Aug 21, 2017

Challenging and very well delivered.

By Jianxin L

Oct 13, 2017

It is a good course, like it.

By Aryan A

Sep 21, 2018

Great course learnt a lot !!

By Utku K

Oct 11, 2016

Very good and informative.

By 丘广俊

Feb 22, 2017

It make me to know more!

By Talha Y

Jun 12, 2016

veryyyyyyyyyyyyy good

By Abhishek G

Sep 11, 2016

Highly recommended!!

By Bálint - H F

Mar 20, 2019

Great ! Difficult !

By 王維煜

Oct 16, 2016


By Syed M Z T

Jun 8, 2020

Excellent course!

By Kor01 F

Jan 19, 2018

robust material

By 周天宇

Oct 9, 2017


By jiqirenzhifu

Aug 11, 2017


By yanghui

Nov 15, 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.

By Shan J

Aug 7, 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.

By Liu Z

Nov 27, 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.

By Alexandre M

Mar 9, 2021

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

By Abdulbaki

Mar 28, 2018

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

By Hussain M A

Jun 6, 2019

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