openEASE within EU's Innovation Radar at CEBIT 2016
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.
Prof. Michael Beetz PhD
Head of Institute
Dr. habil. Hagen Langer
Prof. em. Dr. Otthein Herzog
Open Knowledge for