Information Maximisation Drone Control

Research project at a glance

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.

Funding type

Publicly funded research

Period

01.08.2020 to 31.12.2020

Project Leader

Project Description

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.

Research associates

Cooperation partners