CSCI 587
1.0
Topic 1 - Introduction
Topic 2 - Probabilities
Topic 3 - Robot Environment Interaction
Topic 4 - Discrete Bayes Filters
Topic 5 - Gaussian filters
Topic 6 - Nonlinear systems
Topic 7 - Kalman Filters for Nonlinear Systems
Topic 8 - Robot Motion
Topic 9 - Sensor Models
Topic 10 - Markov Decision Process
Lab 1 - One-dimensional Kalman filter
Lab 3 - Implementing the UKF
Lab 4 - Implementing the EKF
Lab 5 - Implementing Motion Models
Project
Assignment #1 - Tracking an Airplane
Computer Science 587 – Mobile Robotics
CSCI 587
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