MAE 6260
Robotic Autonomy
Course Description
Pre-Requisite(s):
undergraduate dynamics, a programming course in Python, C++, or Matlab; or instructor's permission
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.
