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Robotics: Estimation and Learning に戻る

ペンシルベニア大学(University of Pennsylvania) による Robotics: Estimation and Learning の受講者のレビューおよびフィードバック

4.2
389件の評価
90件のレビュー

コースについて

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....

人気のレビュー

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 .

フィルター:

Robotics: Estimation and Learning: 1 - 25 / 84 レビュー

by Bálint - H F

Mar 20, 2019

Great ! Difficult !

by Vu N M

Sep 19, 2018

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

by Aryan A

Sep 21, 2018

Great course learnt a lot !!

by 周天宇

Oct 09, 2017

希望理论部分讲的再深入些!

by jiqirenzhifu

Aug 12, 2017

nice

by 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.

by Talha Y

Jun 12, 2016

veryyyyyyyyyyyyy good

by 丘广俊

Feb 23, 2017

It make me to know more!

by 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.

by 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 .

by Shubham G

Mar 03, 2018

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

by Guillermo C

Aug 21, 2017

Challenging and very well delivered.

by Lieke V

Jun 13, 2016

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

by 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 .

by 王維煜

Oct 16, 2016

好極了,有中文的字幕,非常輕鬆,謝謝!

by akshay s

Nov 02, 2016

Really nice course with a lot of good content.

by Jianxin L

Oct 13, 2017

It is a good course, like it.

by Abhishek G

Sep 11, 2016

Highly recommended!!

by Utku K

Oct 11, 2016

Very good and informative.

by 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.

by SHAO G

Dec 14, 2016

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

by 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!

by K0r01

Jan 19, 2018

robust material

by Mingrui Z

Mar 25, 2018

Good materials for beginners. Assignments are interesting and useful.

.

by Shounak D

May 23, 2018

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