MAE 6260

Robotic Autonomy

Course Description

Prerequisites

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.

Instructors

Current All Time

Tomonari Furukawa