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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

4.3
928件の評価
237件のレビュー

コースについて

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....

人気のレビュー

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.)

フィルター:

Robotics: Computational Motion Planning: 226 - 231 / 231 レビュー

by Piotr G

Apr 01, 2016

This course need a serious rework.

For the moment I finished it biggest problem was very unclear grading of programming assignments and lack of learning materials.

by Aditya M D

Oct 25, 2016

Could have been awesome course if it discussed some detailed approaches. Only 3 panning approaches discussed in 4 weeks, thus disappointing.

by Ahmed A E

Mar 06, 2016

The course is so weak. No enough illustration for the content of the course. It's too short and not prepared very well.

by Oscar d l H I

Feb 14, 2017

All the assignments are so unclear and you´ve to lose so much time trying to understand the goal of the problem.

by K0r01

Jan 11, 2018

robustness of assignment auto-grader completely ruined the experience of this course.

by Ihor Y

Mar 14, 2016

I believe Penn can do better