Chevron Left
Zurück zu Robotics: Estimation and Learning

Kursteilnehmer-Bewertung und -Feedback für Robotics: Estimation and Learning von University of Pennsylvania

4.2
398 Bewertungen
90 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

Feb 16, 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.

NN

Jun 20, 2016

This is course is really helpful for beginners to understand how probability is useful in Robotics.Assignments are bit tough but worth the time .

Filtern nach:

1 - 25 von 84 Bewertungen für Robotics: Estimation and Learning

von Bálint - H F

Mar 20, 2019

Great ! Difficult !

von Vu N M

Sep 19, 2018

This is a really comprehensive course which gave me a good knowledge about Gaussian Model and Kalman Filter ...

von Aryan A

Sep 21, 2018

Great course learnt a lot !!

von 周天宇

Oct 09, 2017

希望理论部分讲的再深入些!

von jiqirenzhifu

Aug 12, 2017

nice

von 爽 宋

Apr 07, 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.

von Talha Y

Jun 12, 2016

veryyyyyyyyyyyyy good

von 丘广俊

Feb 23, 2017

It make me to know more!

von vincent g

Feb 16, 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.

von Abhilash V

Jun 25, 2016

A tough course with few hours of lecture material and some good programming assignments.You will be satisfied by those assignments however .

von Shubham G

Mar 03, 2018

Very succinct lectures which provides necessary foundation to learn advanced localization algorithms.

von Guillermo C

Aug 21, 2017

Challenging and very well delivered.

von Lieke V

Jun 13, 2016

Contents relevant, lectures well paced and clear and TA's very helpful and on it!

von Niju M N

Jun 20, 2016

This is course is really helpful for beginners to understand how probability is useful in Robotics.Assignments are bit tough but worth the time .

von 王維煜

Oct 16, 2016

好極了,有中文的字幕,非常輕鬆,謝謝!

von akshay s

Nov 02, 2016

Really nice course with a lot of good content.

von Jianxin L

Oct 13, 2017

It is a good course, like it.

von Abhishek G

Sep 11, 2016

Highly recommended!!

von Utku K

Oct 11, 2016

Very good and informative.

von Janzaib M

Apr 04, 2017

Here I learnt all the building blocks of Probabilistic Robotics and the significance of statistical methods etc to deal with the the non-linear world.

The course content is very concise and to the point. And, the knowledge transferred is well structured.

von SHAO G

Dec 14, 2016

It's a great course. Although the assignment is little tough, you will gain a lot after completing it.

von 李鹏飞

Aug 08, 2017

It's a really great course and I learn a lot of things which helps me get started with this subject!

von K0r01

Jan 19, 2018

robust material

von Mingrui Z

Mar 25, 2018

Good materials for beginners. Assignments are interesting and useful.

.

von Shounak D

May 23, 2018

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