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Robotics: Estimation and Learning(으)로 돌아가기

펜실베이니아 대학교의 Robotics: Estimation and Learning 학습자 리뷰 및 피드백

4.3
별점
451개의 평가
103개의 리뷰

강좌 소개

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....

최상위 리뷰

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.

필터링 기준:

Robotics: Estimation and Learning의 97개 리뷰 중 26~50

교육 기관: akshay s

Nov 02, 2016

Really nice course with a lot of good content.

교육 기관: Huang C

Mar 26, 2020

Excellent course. Week 3 and Week 4 is good!

교육 기관: Akhilesh K

Sep 06, 2017

Challenging but great course to learn.

교육 기관: Guillermo C

Aug 21, 2017

Challenging and very well delivered.

교육 기관: Jianxin L

Oct 13, 2017

It is a good course, like it.

교육 기관: Aryan A

Sep 21, 2018

Great course learnt a lot !!

교육 기관: Utku K

Oct 11, 2016

Very good and informative.

교육 기관: 丘广俊

Feb 23, 2017

It make me to know more!

교육 기관: Talha Y

Jun 12, 2016

veryyyyyyyyyyyyy good

교육 기관: Abhishek G

Sep 11, 2016

Highly recommended!!

교육 기관: Bálint - H F

Mar 20, 2019

Great ! Difficult !

교육 기관: 王維煜

Oct 16, 2016

好極了,有中文的字幕,非常輕鬆,謝謝!

교육 기관: Syed M Z T

Jun 08, 2020

Excellent course!

교육 기관: K0r01

Jan 19, 2018

robust material

교육 기관: 周天宇

Oct 09, 2017

希望理论部分讲的再深入些!

교육 기관: jiqirenzhifu

Aug 12, 2017

nice

교육 기관: 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.

교육 기관: 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.

교육 기관: 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.

교육 기관: 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.

교육 기관: 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.

교육 기관: davidjameshall

Jan 07, 2019

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

교육 기관: Aman B

Feb 12, 2019

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

교육 기관: Ramachandran S

Apr 23, 2017

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

교육 기관: Terry Z

Apr 03, 2018

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