Principles of robotic autonomy for navigating unstructured environments using mathematical principles. Basic probability theory, numerical techniques for recursive Bayesian estimation and multi-sensor data fusion, Simultaneous Localization and Mapping, quantification of belief, and autonomous control.
Robotic Autonomy
Host University
University of Virginia
Semester
Spring 2024
Course Number
MAE 6260-600
CRN
16768
Credits
3
Discipline
Mechanical and Aerospace Engineering
Instructor
Tomonari Furukawa
Course Information
Prerequisites
undergraduate dynamics, a programming course in Python, C++, or Matlab; or instructor's permission