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Opiniones y comentarios de aprendices correspondientes a Robotics: Estimation and Learning por parte de Universidad de Pensilvania

4.3
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407 calificaciones
92 revisiones

Acerca del 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....

Principales revisiones

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 de 86 revisiones para Robotics: Estimation and Learning

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 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 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.

por 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.

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 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 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 Adi S

Nov 23, 2019

Really good course. Engaging and relevant content. The assignments push you but test your fundamentals and you end up learning a lot.

por Vu N M

Sep 19, 2018

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

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 Shubham G

Mar 03, 2018

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

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 KALVAPALLI S P K

Aug 29, 2019

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

por Lieke V

Jun 13, 2016

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

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 akshay s

Nov 02, 2016

Really nice course with a lot of good content.

por Akhilesh K

Sep 06, 2017

Challenging but great course to learn.

por Guillermo C

Aug 21, 2017

Challenging and very well delivered.

por Jianxin L

Oct 13, 2017

It is a good course, like it.

por Aryan A

Sep 21, 2018

Great course learnt a lot !!

por Utku K

Oct 11, 2016

Very good and informative.

por 丘广俊

Feb 23, 2017

It make me to know more!

por Talha Y

Jun 12, 2016

veryyyyyyyyyyyyy good

por Abhishek G

Sep 11, 2016

Highly recommended!!