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Вернуться к Robotics: Estimation and Learning

Отзывы учащихся о курсе Robotics: Estimation and Learning от партнера Пенсильванский университет

4.3
Оценки: 400
Рецензии: 91

О курсе

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....

Лучшие рецензии

SS

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.

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.

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1–25 из 85 отзывов о курсе Robotics: Estimation and Learning

автор: Bálint - H F

Mar 20, 2019

Great ! Difficult !

автор: Vu N M

Sep 19, 2018

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

автор: Aryan A

Sep 21, 2018

Great course learnt a lot !!

автор: 周天宇

Oct 09, 2017

希望理论部分讲的再深入些!

автор: jiqirenzhifu

Aug 12, 2017

nice

автор: Shuang S

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.

автор: Talha Y

Jun 12, 2016

veryyyyyyyyyyyyy good

автор: 丘广俊

Feb 23, 2017

It make me to know more!

автор: 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.

автор: 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 .

автор: Shubham G

Mar 03, 2018

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

автор: Guillermo C

Aug 21, 2017

Challenging and very well delivered.

автор: 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 .

автор: 王維煜

Oct 16, 2016

好極了,有中文的字幕,非常輕鬆,謝謝!

автор: akshay s

Nov 02, 2016

Really nice course with a lot of good content.

автор: Jianxin L

Oct 13, 2017

It is a good course, like it.

автор: 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.

автор: 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!

автор: K0r01

Jan 19, 2018

robust material

автор: Mingrui Z

Mar 25, 2018

Good materials for beginners. Assignments are interesting and useful.

.

автор: Shounak D

May 23, 2018

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

автор: 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.

автор: Akhilesh K

Sep 06, 2017

Challenging but great course to learn.

автор: Louis B

Jun 30, 2019

This lecture is very useful from the perspective of approaching robotics for the first time. I recommend it!

There was a lot of effort to get back to the normal distribution I had studied before, but it was very good.

автор: KALVAPALLI S P K

Aug 29, 2019

week 2 and 4 needs more information. Yet great learning experience at affordable price.