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Robotics: Computational Motion Planning(으)로 돌아가기

펜실베이니아 대학교의 Robotics: Computational Motion Planning 학습자 리뷰 및 피드백

4.3
별점
938개의 평가
242개의 리뷰

강좌 소개

Robotic systems typically include three components: a mechanism which is capable of exerting forces and torques on the environment, a perception system for sensing the world and a decision and control system which modulates the robot's behavior to achieve the desired ends. In this course we will consider the problem of how a robot decides what to do to achieve its goals. This problem is often referred to as Motion Planning and it has been formulated in various ways to model different situations. You will learn some of the most common approaches to addressing this problem including graph-based methods, randomized planners and artificial potential fields. Throughout the course, we will discuss the aspects of the problem that make planning challenging....

최상위 리뷰

FC
2018년 11월 27일

The course was challenging, but fulfilling. Thank you Coursera and University of Pennsylvania for giving this wonderful experience and opportunity that I might not experience in our local community!

AD
2018년 7월 2일

The topic was very interesting, and the assignments weren't overly complicated. Overall, the lesson was fun and informative , despite the bugs in the learning tool(especially, the last assignment.)

필터링 기준:

Robotics: Computational Motion Planning의 236개 리뷰 중 176~200

교육 기관: Daniel W

2016년 6월 5일

First course of this specialization was really GREAT, byt this course disappoints.

Of course, there are some interesting topics, but the form of the course is way lazier. Videos are short, there is small amount of additional materials,

교육 기관: Emiliano J B O

2016년 2월 26일

I think that the theory was very poor in sense of the videos were very short and with little content. The topics that we've seen were difficult to learn by itself, and a better explanation could be very useful in practice.

교육 기관: Rafay A K

2016년 3월 14일

The first two assignments certainly tested knowledge of the subject however the last two assignmnets were lacking. Good course that does what it is supposed to do. More feedback from test cases would be very helpful.

교육 기관: Anton L

2017년 10월 30일

Lectures are small, assignments are poor quality, you will probably solve matlab coding problems and try to adapt your working (at least your visual inspection says so) solution bad autograder without ANY FEEDBACK

교육 기관: Julius S

2016년 6월 6일

Great course! but there was too little content!!!! Double it !! Or double the coursework! make us do more work! Also, tell people to use 'parfor' to speed up the computations.

Otherwise, great course!

교육 기관: Mike Z

2016년 5월 23일

Very good introduction course for motion planning. Could be better if there is more interactions with the TAs. Also the matlab assignments have some minor mistakes which takes time to figure it out.

교육 기관: Emeka E

2016년 3월 11일

I think there is need to provide clearer instructions on how to get the programming assignments done. The course content is good, but doing the programming assignments needs to be more clarified.

교육 기관: Alex M

2016년 3월 13일

Most of the homework assignments aren't graded correctly out of the box and have errors. Also, only specific solutions are selected. Otherwise it's great material at a good pace.

교육 기관: Lucas H C S

2017년 9월 23일

Matlab online makes this course activities expensive in time, and some algorithms are not explained on the classe or texts, so you need to search a lot.

교육 기관: Taimoor D K

2018년 8월 27일

Course content is very good however topics should be covered in much detail. Frequent bugs in programming assignments is also a concern.

교육 기관: 李晨曦

2017년 6월 24일

Too few details of the algorithms are provided. The assignment are too simplified to help students develop a good grasp of the contents.

교육 기관: Luke J

2016년 9월 13일

Not much content covered in course, especially compared to Aerial Robotics. No real great sense of achievement on completion.

교육 기관: Unnat A

2019년 7월 1일

The lectures should cover more in depth theory to better explain the concepts before giving such challenging assignments.

교육 기관: Rayad K

2016년 3월 9일

In comparison to the first course this one lacks a lot of organization and debugging before sending it to the public

교육 기관: Marno N

2020년 4월 8일

There was not enough examples or supplementary readings. Also the mentors and teachers dont reply on the forum.

교육 기관: Sathvik D

2017년 9월 24일

Covers the essentials pretty well. But, the programming assignments need a lot of improvement !!!

교육 기관: Ajay G

2016년 11월 20일

can be much better with little bit of more explanations and more relevant resources for help

교육 기관: Chris A

2016년 4월 7일

Very interesting material, but also very light instruction. Requires some MATlab intuition.

교육 기관: Yixuan B

2016년 3월 21일

The materials are not deep enough. And the programming assignments are just so-so.

교육 기관: Fernando C

2016년 3월 31일

The lectures were good, but many assignments had errors (graders, errors in code)

교육 기관: Dmitry V

2016년 3월 12일

Great course but programming assignments in MATLAB had too many issues.

교육 기관: JOSÉ M L R

2020년 4월 14일

Its good but we need more support in the programming task

교육 기관: Qiu Q

2016년 6월 20일

Only for introduction, more materials shoulb be supplied.

교육 기관: 一敏 葛

2016년 2월 24일

Feedback is useless, but content is fine.

교육 기관: Yiming Z

2017년 8월 17일

Could have brought more advanced topics