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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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411 calificaciones
94 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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26 - 50 de 88 revisiones para Robotics: Estimation and Learning

por Talha Y

Jun 12, 2016

veryyyyyyyyyyyyy good

por Abhishek G

Sep 11, 2016

Highly recommended!!

por Bálint - H F

Mar 20, 2019

Great ! Difficult !

por 王維煜

Oct 16, 2016

好極了,有中文的字幕,非常輕鬆,謝謝!

por K0r01

Jan 19, 2018

robust material

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 cyril m

Jun 10, 2016

Great content but dome speakers really need to be more involved... Some videos are perfect if you want to sleep...

Also there was some mistakes in the programming assignments (more or less fixed now) and maybe a bit more details or example code would help. It was hard to make the assignments without extra help and many students had difficulties finding what to do, hopefully the forum was a real life saving tool.

The MATLAB introduction is just ridiculous: you'll need 10x more knowledge of it to do the assignments. it's like taking your first driving lesson on Monday and do Indianapolis 500 on Tuesday...

For someone like me that was not very familiar with this tool, I spend 90% of the time googling "matlab doing this or that" to find example code and making the code work instead of working on the algorithm itself.

The tutorial in the Aerial Robotics is more complete.

por Xiaoyuan C

Dec 29, 2019

A very good introductory course about the topic. But the lecture material is not enriched enough, and the gap between lecture material and programming assignment, which in itself is very good, is a bit large, and rather difficult to handle.

por yanghui

Nov 15, 2017

Great course ,very interesting ,for student with little background like me ,I think more supplemetary materials is needed to get full understanding of such a tough course.thank you,Professor Lee and all the teaching staff.

por Shan J

Aug 07, 2016

Lesson 1 and Lesson 3 are clear. However, homework in Lesson 2 and Lesson 4 is hard to finish because of too few materials in the lesson. Overall, it is a fairly good course.

por Liu Z

Nov 27, 2016

Week 1 and Week 3 are organized much better than Week 2 and Week 4. If you don't have enough time, I recommend that you focus on Week 1 and 3.

por Abdulbaki

Mar 28, 2018

First 2 Week was very good but I think Mapping and Localization parts were not covered throughly. There should have been more detail.

por Hussain M A

Jun 07, 2019

Course content needs researching on the internet as well. And course assignments are good learning experience but need research too.

por davidjameshall

Jan 07, 2019

Excellent exposure to mapping, localization, etc. Would have liked to have odometry included in the week4 assignment.

por Aman B

Feb 12, 2019

It was a well timed course with short videos. However, the assignments didn't do justice (especially assignment 4)

por Ramachandran S

Apr 23, 2017

Pretty practical course It' ll involve a good amount of programming. Not quiz and theoretical verification here.

por Terry Z

Apr 03, 2018

The assignment is not designed very well especially the last one. Lacking of lots of details.

por Xiaotao G

Dec 16, 2018

the topic is interesting, but the videos seems a little bit short

por 官天河

Dec 11, 2016

Everything is good,but the assignments are a little hard,haha

por Kevin R

Oct 11, 2016

more mathematical depth would be great, videos are too concise

por Raphael C

Jun 25, 2017

Good course, videos from week 2 and 4 could be better

por Sabari M

Aug 18, 2019

Indepth explanation could be very useful.

por Stephen S

Jun 03, 2016

Good intro to Kalman filters.

por vahini

Nov 17, 2016

it was a good course