MAE 4260

Robotic Autonomy

Course Description

Pre-Requisite(s): MAE 2320 Dynamics and CS 1110 or CS 1111 or CS 1112 Introduction to Programming, 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.


  • Tomonari Furukawa

     Rating

    1.33

     Difficulty

    3.00

     GPA

     Sections

    2

    Last Taught

    Spring 2025