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

4.3
stars
500 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

SS

Apr 6, 2017

Leanring of mechanism and implementation of Kalman filter and particle filter from experiment is very interesting for me. And these method let me know more about map building in SLAM framework.

VG

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.

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101 - 110 of 110 Reviews for Robotics: Estimation and Learning

By Yiming Z

Oct 14, 2017

Poor explanations in the lectures especially for particle filter.

It doesn't go deep into why and how the method was developed in a theoretical way.

By Alejandro A V

Jun 8, 2016

It is not very clear. The assignments have several problems with the given code. There are many things to improve in the next sessions.

By Gaurang G

May 6, 2017

Week 2 kalman filter assignment not clear;

Course can be made more clear like Aerial Robotics.

By Nico W

Feb 5, 2017

What's there is ok, but there is only a few minutes of lecture material each week.

By Shaun L

Apr 11, 2018

The professor left all the teaching to his Phd students. The material was not straight forward, and possibly made even more difficult with the lackluster slides and presentation. A pdf explaining the theories would be more helpful.

By Nick L

Sep 4, 2016

Barely any contents in the course. Only a few minutes of lectures, no quizzes and poorly constructed assignments that waste a lot of time. Weeks 2 and 4 have the worst material I've seen in all the courses I've taken until today.

By Rafael C

Jun 18, 2016

You need to have deep knowledge in matlab to get pass the assignments. I have spent more time figuring out how the simulations are implemented that really learning about the target algorithm to implement.

By Daniel C

Nov 25, 2017

Lecture videos are extremely short and often not useful for the assignment. Also, the assignments are poorly written. Week 4 is the worst. I had to finish this course to unlock the last capstone project.

By Joaquin R

Sep 22, 2018

Lack of detailed content, assigments WAY too difficult if you just take into account what was explained.

By Wang M

Jun 8, 2016

The assignment is meaningless. lack of instructions.