Welcome to the Institute for Artificial Intelligence!
The Institute for Artificial Intelligence (IAI) directed by Prof. Michael Beetz is part of the Faculty of Computer Science and member of the Center for Computing and Communication Technologies (TZI) at the University of Bremen.
Our department was chosen as one of the 16 finalists for the EU's ICT innovation radar prize 2016. List here
Two of our team members, Alexis Maldonado and Daniel Nyga, traveled to Bratislava to attend the EU's ICT Proposer's Day (26th of September 2016). They presented OpenEASE to a jury of four business experts and many attendees. We also had the chance to show the OpenEASE system live at the Innovation Booth.
Our innovation was very well received and we discussed about our plans for the future. Congratulations to all the finalists and winners of the ICT innovation radar prize!
The Innovation Radar is an initiative of the European Commission focused on the identification of high potential innovations and the key innovators behind them in FP7, CIP and Horizon 2020 projects. It supports innovators by suggesting a range of targeted actions to assist them in fulfilling their potential in the market.
openEASE, as a novel cloud-based knowledge service which helps robots to accomplish vaguely stated actions by filling in missing knowledge pieces on demand, is a candidate for this award in the category of Industrial & Enabling Tech.
For more information, you can visit our award profile. You also have the chance of voting for us as your favourite innovator in this profile.
openEASE is a web-based knowledge source for autonomous robots. It contains episodic memories of autonomous robots performing everyday activities: fetch and place, pizza cooking, chemical experiments, human-robot collaboration activities and many more.
Using a very powerful query language humans and robots can formulate semantic queries about the available episodic memories. openEASE reasons over these episodic memories and provides the humans and robots with specific answers.
In its scientific radio feature “Logo - Das Wissenschaftsmagazin”, broadcasted on the 5th of February, the NDR radio station addressed the question of societal impacts of autonomous robots. In the feature entitled “Helfer oder Konkurrenten?” (“Assistants or Competitors?”) Michael Beetz emphasized the novel opportunities of robots in the healthcare domain. The feature is available as an audio stream: http://www.ndr.de/info/Helfer-oder-Konkurenten,audio271770.html
We are happy to announce that the core implementation of our perception framework, RoboSherlock, is now available as an open source project. RoboSherlock is based on the principle of unstructured information management, and offers a unified framework for integrating multiple perception experts, that hypothesize about images, annotate them and finally test and rank these annotations. For more information visit the project website at www.robosherlock.org
Prof. Michael Beetz PhD
Head of Institute
Prof. Dr. Michael Lawo
Prof. em. Dr. Otthein Herzog
Open Knowledge for