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学生对 宾夕法尼亚大学 提供的 Robotics: Estimation and Learning 的评价和反馈

4.2
391 个评分
90 个审阅

课程概述

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....

热门审阅

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 .

筛选依据:

1 - Robotics: Estimation and Learning 的 25 个评论(共 84 个)

创建者 Bálint - H F

Mar 20, 2019

Great ! Difficult !

创建者 Aryan A

Sep 21, 2018

Great course learnt a lot !!

创建者 王維煜

Oct 16, 2016

好極了,有中文的字幕,非常輕鬆,謝謝!

创建者 akshay s

Nov 02, 2016

Really nice course with a lot of good content.

创建者 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.

创建者 SHAO G

Dec 14, 2016

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

创建者 Jianxin L

Oct 13, 2017

It is a good course, like it.

创建者 周天宇

Oct 09, 2017

希望理论部分讲的再深入些!

创建者 jiqirenzhifu

Aug 12, 2017

nice

创建者 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.

创建者 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.

创建者 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 .

创建者 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!

创建者 Talha Y

Jun 12, 2016

veryyyyyyyyyyyyy good

创建者 丘广俊

Feb 23, 2017

It make me to know more!

创建者 K0r01

Jan 19, 2018

robust material

创建者 Shubham G

Mar 03, 2018

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

创建者 Guillermo C

Aug 21, 2017

Challenging and very well delivered.

创建者 Lieke V

Jun 13, 2016

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

创建者 Abhishek G

Sep 11, 2016

Highly recommended!!

创建者 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 .

创建者 Utku K

Oct 11, 2016

Very good and informative.

创建者 Akhilesh K

Sep 06, 2017

Challenging but great course to learn.

创建者 Tri W G

Mar 24, 2018

Pretty short course but it is really worth it if you want to learn about SLAM. Just like any other courses in this specialization, help in the forums is really minimum and the course is pretty though, so you have to spend more time to complete the course. Overall it is a great course, at least for me. Thank you for all lecturers.

创建者 Shounak D

May 23, 2018

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