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MTE 812

Autonomous Robots and Vehicles

Fundamentals of autonomous mobile robotics, including both perception and planning for autonomous operation, sensor modelling, vehicle state estimation using Bayes Filters, Kalman filters, and Particle filters as well as on-board localization and mapping. Topics in planning include vehicle motion modelling and control, as well as graph based and probabilistic motion planning. An introduction to aerial vehicles control and planning.
Weekly Contact: Lab: 1 hr. Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1

Prerequisites

(ELE 719 or MTE 602) and MTE 701

Co-Requisites

None

Antirequisites

None

Custom Requisites

None

Mentioned in the Following Calendar Pages

*List may not include courses that are on a common table shared between programs.