Chevron Left
Retour à Robotics: Computational Motion Planning

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

4.2
étoiles
812 évaluations
207 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

Nov 28, 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

Jul 03, 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.)

Filtrer par :

101 - 125 sur 201 Avis pour Robotics: Computational Motion Planning

par Hector D M P

Feb 12, 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

Mar 02, 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

Jan 19, 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

Jun 02, 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

Jul 02, 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

Aug 09, 2016

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

par Aditya R

Oct 09, 2018

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

par KAPI K M

Oct 15, 2019

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

par Gursimar S

Dec 18, 2016

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

par Alejandro M F

Sep 27, 2017

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

par Stephen S

Jun 03, 2016

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

par juha n

Apr 01, 2018

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

par Andrey S

Apr 23, 2016

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

par Daniel J

Mar 13, 2016

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

par Himanshu S

Oct 04, 2017

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

par Mohammed A

Apr 02, 2016

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

par Neel P

Dec 23, 2016

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

par Shuai W

Jun 23, 2016

The last part is a bit boring.

Overall I like this course a lot! Thanks!

par Joaquin R

Sep 05, 2018

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

par Nhan H T

Jun 23, 2016

I learned a lot of brilliant techniques in this course. Thank you.

par Rajas J

Sep 22, 2019

Week 1 dijkstra assignment took 1month to get acess to

par SONG

Jul 04, 2017

Quite good, It can be better if the content is richer

par Jeff

May 19, 2016

It is only introductory course. not a lot of content.

par Anil S

Mar 27, 2016

Taught me many planning algorithms in an easy way.

par Rahul N

Jun 12, 2017

Very useful introductory course to path planning