Reinhard Moratz

Reinhard Moratz is a German science educator, academic and researcher. He is Ausserplanmässiger Professor at the University of Münster’s Institute for Geoinformatics. He has worked on spatial cognition and reasoning, qualitative theories of low-dimensional entities like straight line segments and oriented points, artificial intelligence and specifically the OPRA calculus. His research is based on computational models that account for the varying reference frames used in giving verbal instructions about navigation.

Moratz has published various research papers and is the author of Visuelle Objekterkennung als kognitive Simulation and co-editor of the conference proceedings of the Conference on Spatial Information Theory 2011 (COSIT 2011). Moratz's work has been published in Artificial Intelligence. He is a former member of the National Center for Geographic Information and Analysis (NCGIA).

Education Moratz completed his Bachelor and Master in Informatics from the University of Hamburg. He then received Doctoral degree in the same field from Bielefeld University. Parallel to this appointment, he was elected as a member of the National Center for Geographic Information and Analysis (NCGIA). In 2017, Moratz resigned from his positions at the University of Maine. He then returned to Germany, where he was appointed as Ausserplanmässiger Professor at the University of Münster's Institute for Geo-informatics in November 2018. He designed a new calculi with finer distinctions regarding the constraint-based spatial reasoning. His work combines qualitative spatial and linguistic knowledge and has applications in human-robot interaction. Moratz's research also contributes to spatial representations as modules in ontologies. He also worked on spatial references to objects in human-robot interactions.

Relation between entities of QSR calculi and perceived objects Moratz has also conducted research on the relation between QSR calculus entities and perceived objects. He worked on identifying the real world objects that corresponded to spatial entities related to QSR calculi. He also conducted research on methods for detecting these real world objects through an automatic perception. His approach for function-based object recognition contributed to the link between sensorically registered object features and entities to reason about. His function-based object recognition uses the visually perceived function that is offered by constructed objects. Moratz's research indicates that certain spatial invariants can be used to detect meaningful high-level object classes, as object shape is typically determined by object function.

Moratz's work has applications in the fields of mobile service robots, Geographic Information Systems, smart items, semantic technologies and location-based services, among others.