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Retour à Robotics: Computational Motion Planning

Avis et commentaires pour d'étudiants pour Robotics: Computational Motion Planning par Université de Pennsylvanie

956 évaluations
243 avis

À propos du cours

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....

Meilleurs avis

27 nov. 2018

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!

2 juil. 2018

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.)

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176 - 200 sur 237 Avis pour Robotics: Computational Motion Planning

par Keng-Hui W

8 mai 2016



作業提供skeleton的code非常的糟糕,不直覺的實作方式加上詭異的coding style






par Daniel W

5 juin 2016

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,

par Emiliano J B O

26 févr. 2016

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.

par Rafay A K

14 mars 2016

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.

par Антон Л

30 oct. 2017

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

par Julius S

6 juin 2016

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!

par Mike Z

23 mai 2016

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.

par Emeka E

11 mars 2016

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.

par Alex M

13 mars 2016

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.

par Lucas H C S

23 sept. 2017

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.

par Taimoor D K

27 août 2018

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

par 李晨曦

24 juin 2017

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

par Luke J

13 sept. 2016

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

par Unnat A

1 juil. 2019

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

par Rayad K

9 mars 2016

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

par Marthinus J N

8 avr. 2020

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

par Sathvik D

24 sept. 2017

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

par Ajay G

20 nov. 2016

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

par Chris A

7 avr. 2016

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

par Yixuan B

21 mars 2016

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

par Fernando C

31 mars 2016

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

par Dmitry V

12 mars 2016

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

par JOSÉ M L R

14 avr. 2020

Its good but we need more support in the programming task

par Qiu Q

20 juin 2016

Only for introduction, more materials shoulb be supplied.

par Olivia K

24 févr. 2016

Feedback is useless, but content is fine.