How can robots determine their state and properties of the surrounding environment from noisy sensor measurements in time? In this module you will learn how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Specific topics that will be covered include probabilistic generative models, Bayesian filtering for localization and mapping.
Acerca de este Curso
Habilidades que obtendrás
- 5 stars58,53 %
- 4 stars20,73 %
- 3 stars12,39 %
- 2 stars4,06 %
- 1 star4,26 %
Principales reseñas sobre ROBOTICS: ESTIMATION AND LEARNING
It's a great course. Although the assignment is little tough, you will gain a lot after completing it.
The course is too difficult and the class is too short to understand, I have to spend a lot of this learn the knowledge needed in other place.
Pretty practical course It' ll involve a good amount of programming. Not quiz and theoretical verification here.
A tough course with few hours of lecture material and some good programming assignments.You will be satisfied by those assignments however .
Acerca de Programa especializado: Robótica
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