FC
2018年11月27日
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
2018年7月2日
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.)
by Janzaib M
•2016年3月11日
I like this course because they are covering really complicated topics in very less material. And the assignments are amazing. They are worth the learning effect they create.
by Romain J
•2016年3月1日
Very interesting module about Motion planning. I really appreciate that this course put a big emphasis on concrete implementation with various programming assignments.
by Shan J
•2016年8月22日
A good course to get started with robotic motion planning. It starts from shortest path algorithm, configuration space to probabilistic roadmap and potential filed.
by Srikanth G
•2016年12月1日
A beautiful course for robotics beginners. Videos are mostly conceptual yet superficial while programming assignments give a feel for the technicalities involved.
by Michael A W
•2016年6月7日
Good course, completely satisfied. Could have used a bit more material though. For example more tie-ins to the first course would not have been difficult.
by Michael X
•2016年11月13日
Pretty well. Four-week study gives a general introduction of several motion planning techniques.
Programming homework is not so hard, it's great.
by ASMITA S B
•2020年4月29日
THE BEST COURSE IN THE FIELD OF ROBOTICS. VERY WELL EXPLAINED BY SIR.
I AM GRATEFUL AND FILLED WITH MUCH GRATITUDE TO BE THE PART OF THIS COURSE.
by Juan D P A
•2016年11月10日
It's an excellent course; but I would like that continue and teach about Dynamic planning i.e, Dynamic Obstacles and colaborative robotics.
by Vaibhav M
•2021年9月24日
Fantastic job everyone, the course was great, the content and MATLAB support is just awesome and yes hats off to the discussion forum.
by Shounak D
•2018年6月18日
Good course..but I wish the course was longer and the lectures and quizzes more detailed. Looking to more courses on these topics.
by Niju M N
•2016年8月4日
Good Introduction to some of the Algorithms in Computational Planning . More of training in assignment than explanation in video
by Abhilash
•2016年6月25日
A great course ,this course will introduce you to the planning algorithms and will make you do some cool stuff as assignments.
by Alejandro A V
•2016年2月26日
Everything was so relevant and finely explained, but It clearly wasn't a beginner's course, it's more an Intermediate Course.
by Huy P
•2020年8月26日
The programming exercises are quite easy. It would be great if there is a final exercise for 2-tree RRT and graph-like A*
by David S V
•2016年3月19日
Muy bueno el curso, tuvo momentos difíciles pero nada que con esfuerzo y voluntad de salir adelante no se pueda lograr.
by HenryYao
•2018年6月12日
easy to understand, fundamental course on motion planning, programming work with very clear skeleton code
by Leonardo G
•2020年7月8日
It is a basic but good course to introduce important concepts about motion planning of mobile robotics
by Yui
•2019年9月20日
Don't recommend. The submission button for assignment is not available. You cannot finish the course.
by Mayank G
•2016年5月9日
This is very helpful for the students and people working or want to work in aviation/aerial Industry.
by Sabrina_shurong
•2020年8月31日
A great course to introduce some basic ideas. However, the limitation of platform is not pleasable.
by Troy W
•2016年2月16日
The fastest approach to robot motion planning---from someone who knows nothing about the subject.
by Shubham G
•2018年2月11日
Excellent course !! Very crisp and short lectures but still core concepts are taught very well.
by Junheng Z
•2016年6月8日
I am glad to learn this class, because the teacher is nice and talk the planing method easily.
by Victor H S J
•2016年7月31日
It is a great course about Path Planning in robotics, the concepts presented are very usefull
by Deleted A
•2017年3月14日
The contents allowed for a good understanding of planning algorithms for robotics purposes