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Robotics: Computational Motion Planning(으)로 돌아가기

펜실베이니아 대학교의 Robotics: Computational Motion Planning 학습자 리뷰 및 피드백

4.2
816개의 평가
210개의 리뷰

강좌 소개

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....

최상위 리뷰

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.)

필터링 기준:

Robotics: Computational Motion Planning의 204개 리뷰 중 201~204

교육 기관: 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.

교육 기관: K0r01

Jan 11, 2018

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

교육 기관: Raymond N H A

Mar 30, 2016

Lack of support from course teaching staff in answering student's questions.

교육 기관: Ihor Y

Mar 14, 2016

I believe Penn can do better