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.
Об этом курсе
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- 4 stars26,89 %
- 3 stars10,55 %
- 2 stars3,88 %
- 1 star3,38 %
Лучшие отзывы о курсе ROBOTICS: COMPUTATIONAL MOTION PLANNING
This course is supposed to be easier but somehow it also makes it difficult because implementations of the algorithms in Matlab are bit non-standard as I am used to. Altogether very challenging.
it's a nice to learn a lot from the course. Some of the assignment is quite difficult. But with the discussion forum's help, I can pass all of them.
I like this course because they are covering really complicated topics in very less material. And the assignments are amazing. They are worth the learning effect they create.
Good course..but I wish the course was longer and the lectures and quizzes more detailed. Looking to more courses on these topics.
Специализация Робототехника: общие сведения
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
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