Odometry Modeling

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Получаемые навыки

Particle Filter, Estimation, Mapping

Рецензии

4.3 (оценок: 491)

  • 5 stars
    58,65 %
  • 4 stars
    20,57 %
  • 3 stars
    12,42 %
  • 2 stars
    4,07 %
  • 1 star
    4,27 %

NN

19 июня 2016 г.

This is course is really helpful for beginners to understand how probability is useful in Robotics.Assignments are bit tough but worth the time .

WW

8 окт. 2020 г.

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.

Из урока

Bayesian Estimation - Localization

We will learn about robotic localization. Specifically, our goal of this week is to understand a how range measurements, coupled with odometer readings, can place a robot on a map. Later in the week, we introduce 3D localization as well.

Преподаватели

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    Daniel Lee

    Professor of Electrical and Systems Engineering

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