Master data

Learning to Fly Live
Description:

In this research project, a drone will teach itself how to flyStarting from simplest tasks such as hovering, the drone should gradually explore its motor skills, learn to understand the cause and effect of its motor control, and gain more experience and skills through constant practice until finally even challenging movements are possible. In essence, we are mimicking the development of human motor skills and proprioception that occurs continuously and gradually, increasing ability and complexity over time, and building on past experience. To that end, we will combine elements of continual learning with novel, AI-based algorithms. The innovative and high-risk element is that everything happens live on the drone. 


Keywords: UAV, Machine Learning, Artificial Intelligence, Continual Learning, Control Systems
Short title: L2FLive
Period: 01.03.2021 - 30.06.2023
Contact e-mail: jan.steinbrener@aau.at
Homepage: -

Employees

Categorisation

Project type Research funding (on request / by call for proposals)
Funding type §27
Research type
  • Fundamental research
Subject areas
  • 102001 - Artificial intelligence
  • 202037 - Signal processing
  • 202034 - Control engineering
  • 202035 - Robotics
Research Cluster No research Research Cluster selected
Gender aspects Genderrelevance not selected
Project focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups
  • Control of Networked Systems

Cooperations

No partner organisations selected