Odometry Modeling

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Destrezas que aprenderás

Particle Filter, Estimation, Mapping

Reseñas

4.3 (463 calificaciones)
  • 5 stars
    58.96%
  • 4 stars
    20.51%
  • 3 stars
    12.09%
  • 2 stars
    4.10%
  • 1 star
    4.31%
NN
19 de jun. de 2016

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

AV
24 de jun. de 2016

A tough course with few hours of lecture material and some good programming assignments.You will be satisfied by those assignments however .

De la lección
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.

Impartido por:

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    Daniel Lee

    Professor of Electrical and Systems Engineering

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