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Voltar para Robotics: Computational Motion Planning

Comentários e feedback de alunos de Robotics: Computational Motion Planning da instituição Universidade da Pensilvânia

981 classificações
251 avaliações

Sobre o curso

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....

Melhores avaliações

27 de Nov de 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!

2 de Jul de 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.)

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151 — 175 de 246 Avaliações para o Robotics: Computational Motion Planning

por juha n

1 de Abr de 2018

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

por Andrey S

23 de Abr de 2016

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

por Daniel J

13 de Mar de 2016

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

por Himanshu S

4 de Out de 2017

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

por Mohammed A

2 de Abr de 2016

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

por Neel P

23 de Dez de 2016

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

por Shuai W

23 de Jun de 2016

The last part is a bit boring.

Overall I like this course a lot! Thanks!

por Joaquin R

5 de Set de 2018

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

por Nhan T

23 de Jun de 2016

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

por rajas j

22 de Set de 2019

Week 1 dijkstra assignment took 1month to get acess to

por SONG

4 de Jul de 2017

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

por Jeff

19 de Mai de 2016

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

por Anil S

27 de Mar de 2016

Taught me many planning algorithms in an easy way.

por Rahul N

12 de Jun de 2017

Very useful introductory course to path planning

por Vikalp M

3 de Fev de 2017

assignment grading feedback can be made better.

por rao s y

14 de Mar de 2016

Should letting us do more programming stuff.

por AMIT S P

1 de Set de 2016

Good Introductory Course but can be better.

por Manikandan R

27 de Fev de 2016

Damn good!! and bit difficult

por Orlando B

15 de Mar de 2016

It was a great course!!!

por Abdullah B

13 de Ago de 2016

Good but can do better.

por MAssimo S

6 de Set de 2017

Basic concept course

por jinxz

28 de Fev de 2018

forum is useful !!!

por Fabio B

26 de Jun de 2017

Very good course!

por Md I S

23 de Dez de 2017

it was great.

por Prabin K R

13 de Ago de 2018