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Robotics: Computational Motion Planning に戻る

ペンシルベニア大学(University of Pennsylvania) による Robotics: Computational Motion Planning の受講者のレビューおよびフィードバック



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....



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!


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.)


Robotics: Computational Motion Planning: 126 - 150 / 220 レビュー

by juha n

Apr 01, 2018

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

by Andrey S

Apr 23, 2016

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

by Daniel J

Mar 13, 2016

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

by Himanshu S

Oct 04, 2017

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

by Mohammed A

Apr 02, 2016

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

by Neel P

Dec 23, 2016

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

by Shuai W

Jun 23, 2016

The last part is a bit boring.

Overall I like this course a lot! Thanks!

by Joaquin R

Sep 05, 2018

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

by Nhan H T

Jun 23, 2016

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

by Rajas J

Sep 22, 2019

Week 1 dijkstra assignment took 1month to get acess to


Jul 04, 2017

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

by Jeff

May 19, 2016

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

by Anil S

Mar 27, 2016

Taught me many planning algorithms in an easy way.

by Rahul N

Jun 12, 2017

Very useful introductory course to path planning

by Vikalp M

Feb 03, 2017

assignment grading feedback can be made better.

by rao s y

Mar 14, 2016

Should letting us do more programming stuff.


Sep 01, 2016

Good Introductory Course but can be better.

by Manikandan.R

Feb 27, 2016

Damn good!! and bit difficult

by Orlando J B P

Mar 16, 2016

It was a great course!!!

by Abdullah B

Aug 13, 2016

Good but can do better.

by MAssimo S

Sep 06, 2017

Basic concept course

by jinxz

Feb 28, 2018

forum is useful !!!

by Fabio B

Jun 26, 2017

Very good course!

by Md I S

Dec 23, 2017

it was great.

by Prabin K R

Aug 13, 2018