Academic Catalog


Course Code: 5670585
METU Credit (Theoretical-Laboratory hours/week): 3(3-0)
ECTS Credit: 8.0
Department: Electrical And Electronics Engineering
Language of Instruction: English
Level of Study: Graduate
Course Coordinator: Prof.Dr. AFAR SARANLI
Offered Semester: Fall Semesters.

Course Content

Introduction to probabilistic methods for mobile robots and autonomous systems. Recursive state and parameter estimation using Bayes filter. Probabilistic robot motion, actuator and motion models. Probabilistic robot sensing and perception, sensor models. Gaussian and non-parametric filters for estimation. Canonical problems of localization and mapping. Simultaneous localization and mapping (SLAM). Introduction to probabilistic planning and control.