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學生對 宾夕法尼亚大学 提供的 Robotics: Estimation and Learning 的評價和反饋

4.2
384 個評分
88 個審閱

課程概述

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....

熱門審閱

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 .

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1 - Robotics: Estimation and Learning 的 25 個評論(共 82 個)

創建者 Bálint - H F

Mar 20, 2019

Great ! Difficult !

創建者 Vu N M

Sep 19, 2018

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

創建者 Aryan A

Sep 21, 2018

Great course learnt a lot !!

創建者 周天宇

Oct 09, 2017

希望理论部分讲的再深入些!

創建者 jiqirenzhifu

Aug 12, 2017

nice

創建者 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.

創建者 Talha Y

Jun 12, 2016

veryyyyyyyyyyyyy good

創建者 丘广俊

Feb 23, 2017

It make me to know more!

創建者 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.

創建者 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 .

創建者 Shubham G

Mar 03, 2018

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

創建者 Guillermo C

Aug 21, 2017

Challenging and very well delivered.

創建者 Lieke V

Jun 13, 2016

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

創建者 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 .

創建者 王維煜

Oct 16, 2016

好極了,有中文的字幕,非常輕鬆,謝謝!

創建者 akshay s

Nov 02, 2016

Really nice course with a lot of good content.

創建者 Jianxin L

Oct 13, 2017

It is a good course, like it.

創建者 Abhishek G

Sep 11, 2016

Highly recommended!!

創建者 Utku K

Oct 11, 2016

Very good and informative.

創建者 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.

創建者 SHAO G

Dec 14, 2016

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

創建者 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!

創建者 K0r01

Jan 19, 2018

robust material

創建者 Mingrui Z

Mar 25, 2018

Good materials for beginners. Assignments are interesting and useful.

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創建者 Shounak D

May 23, 2018

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