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Learner Reviews & Feedback for Robotics: Computational Motion Planning by University of Pennsylvania

4.3
stars
1,028 ratings

About the Course

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....

Top reviews

FC

Nov 27, 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!

SD

Jul 2, 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 of 259 Reviews for Robotics: Computational Motion Planning

By Matthew P

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Mar 11, 2018

Overall, this was a very informative course. Some of the assignments were a bit unclear, but most issues could be resolved by reading the discussion forum posts. I was pleased with the course's discussion of higher dimensional planning problems. One section that may be worth adding to the course would include real time planning problems and a discussion of how SLAM relates to the course material.

By Francesco V

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Mar 8, 2016

as an introduction is a really good course. The assignments are interesting and can get you to understand what you are doing.

However, the grading system used for the assignment is frustrating.. it is never known what it is actually graded and even if your solution is correct compared to what written in the assignment pdf, most of the times is considered wrong without saying why.

By Javier F L

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Jan 15, 2017

Very good introduction to motion planning algorithms. The exercises are a bit simple, their descriptions could be more detailed and with more examples and implementations. The grading of some exercises (specially the 4th) is a bit tricky, knowing more about the evaluation conditions would help. Very good course overall, totally recommended!

By Okan K

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Jan 29, 2020

Course starts from the start and give everything about to the some level. But If you are planning to do some complicated stuff like multi-robot control, moving obstacles in the configuration space or plan your path in uncertanty configuration space. Course do not provide information about this kinda problems.

By Adi S

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Sep 24, 2019

Content is good. Straightforward. The online learning tool used in this course is sub-optimal for any learning. Test cases are opaque. The lack of a debugging tool paired with not knowing the values against which a code is being tested means that solving them is like shooting in the dark.

By Upputuri R C

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Jul 15, 2019

The course was really good & the instructor was clear & Focused. The only problem i faced is the online MATLAB tool. I've tried a lot but every it says wrong but when i did on my Pc MATLAB software it doesn't shows any error. But coming to course this course is really very interesting.

By Syed M F

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Dec 25, 2017

The course was well build and i learned a lot form it.

It could be even better if the details are properly conveyed especially in MATLab assignments to reduce unnecessary hassle and efficient utilization of ones time :)

I hope this is taken positively.

thanks.

By Sanskar K

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Mar 28, 2019

Was very brief. Expected a little more brevity and details regarding the subject matter. A decent introduction but there is a lot more to learn there. Certain assignments have minor issues, so please jump to the discussion forums if you face any issues.

By Deepak P

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Mar 28, 2019

the programming assignments needed a lot of outsourcing for materials, without reading which, it was impossible to pass them just keeping up to the lectures. those materials could have been dealt with in the lecture via supplementary videos.

By Cristian D T

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Jul 28, 2018

The covered material is well presented, and everything felt useful and practical.

I feel they could have covered more topics. Also, the quizzes and programming exercises are short, easy, and don't cover all the techniques they mention.

By Shehjar K

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Mar 17, 2016

Assignments were fantastic, course structure was great! Focus was mainly on algorithmic concepts that were then implemented during assignments. Great learning experience. Just that the assignment grading system could have been better.

By Christos P

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Jul 26, 2020

+ Very good course overall

- Technical issues with assignements, even though many of them have been mentioned in the forums.

- Actual content should be longer. Videos of approx 20 mins cannot constitute an entire course week.

By Jose A E H

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Apr 17, 2016

Great course, but I found some problems in assignments formulation and also it would be great if some supplementary material was proposed in order to connect this subject with courses, it might seem sometimes disconnected.

By Ramachandran S

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Jan 19, 2017

A good course that gives you a brief info on various motion planning methods. A bit more techniques as well as a more complex assignments couldve been put together so that we could understand and implement better.

By Dwayne C

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Mar 14, 2016

A great course on Motion Planning for systems, I enjoyed it. I got stuck a few times during assignments, but due to a great community, I was able to pull through and gain a better understand of the course.

By Rômulo T R

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Mar 30, 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.

By TKor78

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Oct 20, 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.

By Hector D M P

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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.

By James H

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Mar 2, 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.

By Aalap S

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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.

By Yingjing F

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Jun 1, 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).

By BaoYiping

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Jul 2, 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.

By 江泽宇

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Aug 9, 2016

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

By Kanishk

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Aug 11, 2020

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

By Aditya R

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Oct 9, 2018

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