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Voltar para Robotics: Estimation and Learning

Comentários e feedback de alunos de Robotics: Estimation and Learning da instituição Universidade da Pensilvânia

4.3
400 classificações
91 avaliações

Sobre o curso

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....

Melhores avaliações

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 — 25 de {totalReviews} Avaliações para o Robotics: Estimation and Learning

por Bálint - H F

Mar 20, 2019

Great ! Difficult !

por K0r01

Jan 19, 2018

robust material

por 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.

por 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 .

por 王維煜

Oct 16, 2016

好極了,有中文的字幕,非常輕鬆,謝謝!

por akshay s

Nov 02, 2016

Really nice course with a lot of good content.

por Jianxin L

Oct 13, 2017

It is a good course, like it.

por Abhishek G

Sep 11, 2016

Highly recommended!!

por Utku K

Oct 11, 2016

Very good and informative.

por 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.

por SHAO G

Dec 14, 2016

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

por 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!

por 周天宇

Oct 09, 2017

希望理论部分讲的再深入些!

por jiqirenzhifu

Aug 12, 2017

nice

por 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.

por Talha Y

Jun 12, 2016

veryyyyyyyyyyyyy good

por 丘广俊

Feb 23, 2017

It make me to know more!

por Shubham G

Mar 03, 2018

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

por Guillermo C

Aug 21, 2017

Challenging and very well delivered.

por Lieke V

Jun 13, 2016

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

por 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 .

por Mingrui Z

Mar 25, 2018

Good materials for beginners. Assignments are interesting and useful.

.

por Shounak D

May 23, 2018

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

por 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.

por Akhilesh K

Sep 06, 2017

Challenging but great course to learn.