Staff

Prof. Dr. Udo Frese

  • Address (Bremen)
    Cartesium
    Enrique-Schmidt-Straße 5
    D-28359 Bremen

Prof. Dr. Udo Frese

Publications

Felix Goldau, Udo Frese

In: Proceedings of the 14th Pervasive Technologies Related to Assistive Environments Conference (PETRA 2021). International Conference on Pervasive Technologies Related to Assistive Environments (PETRA-2021) June 29-July 2 Corfu/Virtual Greece 2021.

To the publication
Annalies Baumeister, Elizaveta Gardo, Patrizia Tolle, Barbara Klein, Max Pascher, Jens Gerken, Felix Goldau, Yashaswini Shivashankar, Udo Frese

In: Connected Living : international and interdisciplinary conference (2021), Frankfurt am Main. Connected Living - International and interdisciplinary conference October 8-8 Frankfurt am Main Germany 2021.

To the publication

Profile

Short biography

Udo Frese is professor for multi-sensor interactive systems at University of Bremen.

He was born in 1972 and studied computer science at University of Paderborn from 1993 to 1997. From 1998 to 2003 he worked at the German Aerospace Center (DLR) on the Simultaneos Localization and Mapping (SLAM) problem and defended his Ph.D thesis in 2004 at Friedrich-Alexander-Universität Erlangen-Nürnberg. Since then he works at University of Bremen, since 2008 as assistant professor for real-time computer vision and since 2014 as professor for multi-sensor interactive systems.

He is member of the high-profile research area Minds, Media, Machines and associated with the German Research Center for Artificial Intelligence (DFKI).

His research interests are computer vision, sensor fusion by probabilistic modelling and algorithms for safety functions, all for applications in robotics and interaction. Together with DFKI, His lab runs the robot soccer team B-Human, who became world-champion for 7 times.

DOF-Adaptiv


Adaptive Mapping of Degrees of Freedom as User Interface for an Assistive Robot

An assistive robot arm is a valuable support for people with severely reduced mobility of arm and hand, but exhausting and time-consuming to use, because the seven movement possibilities (degrees of…

SIRKA


Sensoranzug zur individuellen Rückmeldung körperlicher Aktivität

Motivation

In many physically challenging jobs with heavy movements the risk for developing occupational illnesses after the age of 50 is significantly high. The aim of the SIRKA project is to develop…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz