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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
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