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.
Este curso forma parte de Programa especializado: Robótica
Ofrecido Por
Programa especializado: RobóticaUniversidad de PensilvaniaAcerca de este Curso
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Prueba Coursera para negociosHabilidades que obtendrás
- Motion Planning
- Automated Planning And Scheduling
- A* Search Algorithm
- Matlab
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Prueba Coursera para negocios
Ofrecido por
Programa - Qué aprenderás en este curso
Introduction and Graph-based Plan Methods
Configuration Space
Sampling-based Planning Methods
Artificial Potential Field Methods
Reseñas
- 5 stars55,30 %
- 4 stars26,95 %
- 3 stars10,50 %
- 2 stars3,86 %
- 1 star3,36 %
Principales reseñas sobre ROBOTICS: COMPUTATIONAL MOTION PLANNING
The last assignment had no hints. Also was extremely fragile with the grading. Step size cannot be fixed to a value, because otherwise the route count is wrong.
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 would say beginners will struggle with the contents of this course because it is heavily conceptual and requires you to read other resources to understand fully, In all, it was a splendid course.
Good Introduction to some of the Algorithms in Computational Planning . More of training in assignment than explanation in video
Acerca de Programa especializado: Robótica
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