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

4.3
étoiles
936 évaluations
241 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

FC
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!

AD
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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126 - 150 sur 235 Avis pour Robotics: Computational Motion Planning

par Romulo

30 mars 2018

The course material and videos are very good. Small bugs in the exercise can be a bit of headache. Luckily, digging the community forum there is always a high chance to solve your issue.

par TKor78

20 oct. 2016

A good and interesting course to get a fundamental understanding of how robots move. Not easy, but quite rewarding for the one who is willing to put some efforts into it.

par Hector D M P

12 févr. 2018

The last assignment had no hints. Also was extremely fragile with the grading. Step size cannot be fixed to a value, because otherwise the route count is wrong.

par James H

2 mars 2016

I enjoyed this course, and learnt a lot. The only reason I'm not giving it 5/5 is that the programming assignments were a bit too easy, especially the last two.

par Aalap S

19 janv. 2017

Great Introductory Course. It is a bit short on course content, but teaches you enough to be able to learn from other sources such as research papers, etc.

par Yingjing F

1 juin 2016

It's nice! I particularly like the programming homework. However, the course is pretty much beginner-level, and the course is too short (for only 4 weeks).

par BaoYiping

2 juil. 2016

it's a nice to learn a lot from the course. Some of the assignment is quite difficult. But with the discussion forum's help, I can pass all of them.

par 江泽宇

9 août 2016

the fundamental of planning algorithm, basic algorithm: Dijkstra, A*, RRT, artificial potential. Some exercises' requirement should be more detail.

par Kanishk

11 août 2020

the coding excercises were a challenge in this one.. but the content of the course made it very interesting and intriguing.

par Aditya R

9 oct. 2018

There should be more materials for completing the assignment problems. I find it Insufficient. The course overall is great!

par KAPI K M

15 oct. 2019

A more realistic and continuous map planning can be included to give the students experience of more real-life conditions.

par Gursimar S

18 déc. 2016

A lot of things to learn,but the programming assignment evaluate program does not help in finding mistakes.

par Alejandro M F

27 sept. 2017

This course gave me a good introduction to this field of Robotics, I'm really passionate about it. Thanks!

par Rimsha T

10 mai 2020

This course is very helpfull to understand the motion planing. i learnt every concept from this cours

par NICHOLAS P

16 juin 2020

Interesting course with fun programming assignments (challenging without being overly difficult.

par Guining O

4 juil. 2020

The course is well structured for beginners. The only problem was the assignment grading errors

par Stephen S

3 juin 2016

Great class. For those with lots of programming experience this course is a little too easy.

par juha n

1 avr. 2018

The last assignment details were too vague. Spent a zhit ton of time rounding/not rounding.

par Andrey S

23 avr. 2016

Great course! I'm really enjoy it. Thanks a lot professor CJ Taylor and staff.

par Justmy4cents

13 mars 2016

some of the assignments are unclear, need more detail. Over all great course.

par Himanshu S

4 oct. 2017

Conceptually good but knowledge of coding is a prerequisite for this course.

par Mohammed A

2 avr. 2016

The videos are short and to the point, and the Matlab home works are great.

par Neel P

23 déc. 2016

Could be improved. There is more need of involvement of mentors and TAs.

par Shuai W

23 juin 2016

The last part is a bit boring.

Overall I like this course a lot! Thanks!

par Joaquin R

5 sept. 2018

Good course. Easy to understand and with reasonable mat lab assigments