Information Maximisation Drone Control

Forschungsprojekt im Überblick

Controlling a robotic system to perform a certain set of actions in an unknown and dynamic environment is easy if you have a perfect model of that environment. However, in the real world, such models are unavailable. In this research we are tackling the challenge of deploying an information maximization control strategy for Unmanned Aerial Vehicles (UAV) by accurately sensing and modelling dynamic environments using sensors and multi-sensor fusion methods.

Förderungsart

Öffentliche Forschung

Zeitraum

01.08.2020 to 31.12.2020

Projektleitung an der H-BRS

Projektbeschreibung

Controlling a robotic system to perform a certain set of actions in an unknown and dynamic environment is easy if you have a perfect model of that environment. However, in the real world, such models are unavailable. In this research we are tackling the challenge of deploying an information maximization control strategy for Unmanned Aerial Vehicles (UAV) by accurately sensing and modelling dynamic environments using sensors and multi-sensor fusion methods.

Wissenschaftliche Mitarbeiterinnen und Mitarbeiter

Externe Kooperationspartnerinnen und Kooperationspartner