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學生對 宾夕法尼亚大学 提供的 Robotics: Estimation and Learning 的評價和反饋

4.3
451 個評分
103 條評論

課程概述

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....

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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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76 - Robotics: Estimation and Learning 的 97 個評論(共 97 個)

創建者 juha n

Jul 15, 2018

Assignments need some serious revising.

創建者 Dhagash D

Dec 11, 2016

Not deeply explained not for beginneer.

創建者 Troy W

May 16, 2016

Really too short.

創建者 Fredo P C

Mar 17, 2019

Difficult course

創建者 Raunak H

Dec 18, 2017

Meh

創建者 Enrico A

Jul 29, 2017

The material covered is very interesting. However, I am a bit disappointed by the lecture format and the assignment preparation. It is good to have concise lectures that stick to the core of the subject. However, in this case, they were not very clear. Additionally, the assignments tend to be cover different material from the lectures. Besides, they are not well explained and it is difficult to understand what is required. You basically end up doing a lot of trial and error. Luckily, the blog contains very useful posts from other frustrated users.

創建者 Behrooz S

Jun 10, 2016

Very important materials are explained super briefly. I would only suggest it for getting familiar with the estimation "keywords and terminologies" or for someone who wants to brush up his/her prior knowledge in estimation. The total session time for all 4 weeks together is only a few hours and the homeworks do not cover the session topics.

創建者 李晨曦

Jul 30, 2017

The lectures does not provide enough information and dig into the underlying principles. Lectures that are supposed to be half an hour are condensed into several minutes. Of all the courses in this series, I rely on external resources and forums the most to finish this one. I honestly think the teaching staff could do a better job.

創建者 Juan Á F M

Aug 04, 2018

All in all, it's a very interesting, absolutely necessary topic for robotics. But everything is treated here without theory tests, detailed examples and the like, so learning is only tested with programming tasks. The student must work a lot with MATLAB to come up with crafty solutions for week practices.

創建者 Tim O

Dec 10, 2016

When I took, assignments 2 and 4 were broken and there were no mentors to help students. However, I am now told they will be fixing the course. I give 2 stars becuase the concepts of the assignments is good, but the course needs more attention.

創建者 Yiming Z

Oct 15, 2017

Poor explanations in the lectures especially for particle filter.

It doesn't go deep into why and how the method was developed in a theoretical way.

創建者 Alejandro A V

Jun 08, 2016

It is not very clear. The assignments have several problems with the given code. There are many things to improve in the next sessions.

創建者 Gaurang G

May 06, 2017

Week 2 kalman filter assignment not clear;

Course can be made more clear like Aerial Robotics.

創建者 Nico W

Feb 05, 2017

What's there is ok, but there is only a few minutes of lecture material each week.

創建者 karthik r

Oct 31, 2017

Although the course is structured properly, the lectures are horrible, explanation for kalman filter lasts couple of minutes,while in universities the topic is studied and implemented as thesis over 6 months, week 4 also throws very poor insight on particle filter, week1 and week3 were better explained. I've learnt more from youtube , The lecturers should see how Andrew Ng teaches his courses, he works through the algorithms step by step. I had to painfully finish this course to unlock the capstone project. I do not recommend this course if you are new to robotics.

創建者 Wilmer A R

Jun 09, 2016

A lot of things to improve, specially thr learning courve is from 1 to 100 and a lot of pre knowledge need, your future public is the hobby robotics people who want to expand their knowledge, a litlle more weeks maybe two can increase the likes for the course. Check this one Control of Mobile Robots you can get an example of a good learning curve

創建者 Shaun L

Apr 12, 2018

The professor left all the teaching to his Phd students. The material was not straight forward, and possibly made even more difficult with the lackluster slides and presentation. A pdf explaining the theories would be more helpful.

創建者 Nick L

Sep 04, 2016

Barely any contents in the course. Only a few minutes of lectures, no quizzes and poorly constructed assignments that waste a lot of time. Weeks 2 and 4 have the worst material I've seen in all the courses I've taken until today.

創建者 Rafael C

Jun 18, 2016

You need to have deep knowledge in matlab to get pass the assignments. I have spent more time figuring out how the simulations are implemented that really learning about the target algorithm to implement.

創建者 Daniel C

Nov 25, 2017

Lecture videos are extremely short and often not useful for the assignment. Also, the assignments are poorly written. Week 4 is the worst. I had to finish this course to unlock the last capstone project.

創建者 Joaquin R

Sep 22, 2018

Lack of detailed content, assigments WAY too difficult if you just take into account what was explained.

創建者 ShuYu W

Jun 08, 2016

The assignment is meaningless. lack of instructions.