Drones are increasingly being deployed as autonomous actors in uncontrolled environments. This requires reliable control and navigation. The research team at the University of Klagenfurt led by Stephan Weiss and Jan Steinbrener, which also includes doctoral student Christoph Böhm, is now working on improving the drone’s self-awareness so that it becomes better at adapting to changing conditions in the future.
Some 56,000 ships weighing in excess of 500 tons are currently sailing the world’s oceans. For now, their maintenance is carried out by a high number of personnel: The cleaning of a ship’s hull currently takes about eight days and costs between 100,000 and 200,000 euros. The project “BugWright2 Autonomous Robotic Inspection and Maintenance on Ship Hulls and Storage Tanks” financed by EU-HORIZON2020 aims at developing autonomous technical solutions.
Machines are already capable of many things. A certain set of sensors has already been fully developed. And yet, Harald Gietler, researcher at the Department of Smart Systems Technologies seeks to discover: “Who knows what kinds of sensors we will need in the future?” He is currently developing a new technology, which will allow machines to determine the location of other machines.
In practical settings, ten minutes of flight time are generally not enough for most applications. A team comprised of researchers from the University of Klagenfurt (AAU) and NASA-JPL/California is working on ways to enable the autonomous flight of drones in several stages with intermittent charging phases. Christian Brommer, AAU doctoral student, has recently published the results of his research.
Quicklinks
Information for
Address
Your privacy is important to us!
We use cookies to optimally redesign our website and to improve it continuously for you.
Click on the different category headings to view further information and to change the default settings.
Please note that refusing some cookies may affect the way our website works. Web pages may not be displayed correctly and may not function properly.
Reference to processing of your data collected on this website in countries without an adequate level of data protection:
By clicking on "Accept all cookies", you also consent to your data being processed by Google, Facebook, LinkedIn, Twitter and YouTube, including the USA in accordance with Art. 49 (1) sentence 1 lit. a DSGVO.
The European Court of Justice considers the USA to be a country with an insufficient level of data protection according to EU standards.
Essential cookies
These cookies are strictly necessary for the functioning of the website. Essential cookies enable basic functions and are necessary for the proper functioning of the website. You can set your browser to block these cookies or to notify you about these cookies. However, some parts of the website may not work as expected.
These cookies do not store any personal data.
Hiding the cookie notice
Two cookies are required for this setting to be saved. Otherwise this hint will be displayed again every time the page is loaded.
We use tracking and analysis tools to ensure continuous optimisation and needs-based design of our website. Tracking measures also enable us to record statistics regarding the use of our website by visitors and to develop our website further on the basis of these findings.
If you do not want Google and Facebook to track your use of our website and transmit your visits, you can disable tracking in your browser here:
We also use different external services including Google Webfonts, Google Maps, and external video providers.
Since these providers may collect personal data such as your IP address we allow you to block them here.
Please be aware that this might significantly limit the functionality and appearance of our site. Changes will take effect once you reload the page.
Google Webfont Settings:
Google Maps Settings:
Google reCaptcha Settings:
Vimeo and Youtube video embeds:
For further information on the cookies used, please refer to our
Datenschutzerklärung der Universität Klagenfurt