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Robotics: Computational Motion Planning(으)로 돌아가기

펜실베이니아 대학교의 Robotics: Computational Motion Planning 학습자 리뷰 및 피드백

972개의 평가
248개의 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

2018년 11월 27일

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!

2018년 7월 2일

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 243개 리뷰 중 51~75

교육 기관: Avinash A

2017년 7월 29일

Interesting course. Easy to understand. Thanks for creating and making it available.

교육 기관: 王思强

2017년 2월 12일

Very useful for robotic beginners, the idea is clear and the explanation is helpful.

교육 기관: Ruchen Z

2016년 11월 20일

A good introduction for computational motion planning, and easy to understand.

교육 기관: Siddharth B

2019년 5월 27일

Good to enhance understanding about basic motion and path planning algorithm.

교육 기관: Nandagopal V

2020년 4월 16일

The course was very interesting and the assignments were also made very well

교육 기관: Kushal S

2016년 11월 20일

Best Course for getting an introduction of computational motion planning.

교육 기관: Marian M

2020년 8월 28일

Excellent course. This will help me in future work on the Robotics field

교육 기관: Ajith P

2020년 7월 15일

Nice course, but we should do furthur reading for explore in real world.

교육 기관: Dilshan M

2020년 2월 1일

Great introduction to a very advanced and research intensive subject.

교육 기관: Nick M

2016년 6월 24일

The course material is complete, interesting and easy to understand.

교육 기관: Foivos P

2020년 6월 18일

Well organised and very educational. I would definitely recommend.

교육 기관: Vu N M

2018년 9월 19일

Really good course but not too deeply knowledge in Motion Planning

교육 기관: Yuwei W

2020년 1월 31일

This course is really important for my understanding for robotics

교육 기관: Lokesh B

2018년 3월 12일

great course. I learned a lot and i look forward to learn more

교육 기관: Jun Z

2018년 5월 4일

Awesome, clearly indicate the basic methods of path planning.

교육 기관: David A

2016년 3월 13일

Some really good concepts introduced at just the right level.

교육 기관: Salahuddin K

2019년 5월 31일

This course serves a great introduction to path-planning.

교육 기관: PRAHLAD S

2019년 2월 20일

if you are passionate about robotics you should try this.

교육 기관: sourov d

2020년 10월 3일

Excellent explanation and nice assignments. Great course

교육 기관: Subash T

2020년 5월 27일

It was a nice course. Got to learn various new things.

교육 기관: Chanaka P

2020년 4월 23일

This is one of best course that I followed on Coursera

교육 기관: Utku K

2016년 9월 5일

Very good course, I wish it had been a little longer.

교육 기관: balaji R

2020년 11월 24일

Interesting Subject.. Assignments were challenging..

교육 기관: Charulaxmi F

2018년 12월 27일

Good coverage and explanation of various algorithms.

교육 기관: Bhavya G G

2021년 4월 17일

Greatly explained, very comprehensible teaching