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Вернуться к Robotics: Computational Motion Planning

Отзывы учащихся о курсе Robotics: Computational Motion Planning от партнера Пенсильванский университет

4.3
звезд
Оценки: 980
Рецензии: 251

О курсе

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....

Лучшие рецензии

FC
27 нояб. 2018 г.

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
2 июля 2018 г.

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.)

Фильтр по:

151–175 из 246 отзывов о курсе Robotics: Computational Motion Planning

автор: juha n

1 апр. 2018 г.

The last assignment details were too vague. Spent a zhit ton of time rounding/not rounding.

автор: Andrey S

23 апр. 2016 г.

Great course! I'm really enjoy it. Thanks a lot professor CJ Taylor and staff.

автор: Daniel J

13 мар. 2016 г.

some of the assignments are unclear, need more detail. Over all great course.

автор: Himanshu S

4 окт. 2017 г.

Conceptually good but knowledge of coding is a prerequisite for this course.

автор: Mohammed A

2 апр. 2016 г.

The videos are short and to the point, and the Matlab home works are great.

автор: Neel P

23 дек. 2016 г.

Could be improved. There is more need of involvement of mentors and TAs.

автор: Shuai W

23 июня 2016 г.

The last part is a bit boring.

Overall I like this course a lot! Thanks!

автор: Joaquin R

5 сент. 2018 г.

Good course. Easy to understand and with reasonable mat lab assigments

автор: Nhan T

23 июня 2016 г.

I learned a lot of brilliant techniques in this course. Thank you.

автор: rajas j

22 сент. 2019 г.

Week 1 dijkstra assignment took 1month to get acess to

автор: SONG

4 июля 2017 г.

Quite good, It can be better if the content is richer

автор: Jeff

19 мая 2016 г.

It is only introductory course. not a lot of content.

автор: Anil S

27 мар. 2016 г.

Taught me many planning algorithms in an easy way.

автор: Rahul N

12 июня 2017 г.

Very useful introductory course to path planning

автор: Vikalp M

3 февр. 2017 г.

assignment grading feedback can be made better.

автор: rao s y

14 мар. 2016 г.

Should letting us do more programming stuff.

автор: AMIT S P

1 сент. 2016 г.

Good Introductory Course but can be better.

автор: Manikandan R

27 февр. 2016 г.

Damn good!! and bit difficult

автор: Orlando B

15 мар. 2016 г.

It was a great course!!!

автор: Abdullah B

13 авг. 2016 г.

Good but can do better.

автор: MAssimo S

6 сент. 2017 г.

Basic concept course

автор: jinxz

28 февр. 2018 г.

forum is useful !!!

автор: Fabio B

26 июня 2017 г.

Very good course!

автор: Md I S

23 дек. 2017 г.

it was great.

автор: Prabin K R

13 авг. 2018 г.

awesome!!!