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Prof. Dr. Udo Frese

Address (Bremen) CartesiumEnrique-Schmidt-Straße 5D-28359 Bremen
Prof. Dr. Udo Frese

Publications

Christoph Lüth; Nicole Megow; Rolf Drechsler; Udo Frese

In: Frank Kirchner; Sirko Straube; Daniel Kühn; Nina Hoyer. KI-Technologie für Unterwasserroboter. Pages 185-198, Springer, 2023.

To the publication

Kirill Kronhardt; Stephan Rübner; Max Pascher; Felix Goldau; Udo Frese; Jens Gerken

In: Fillia Makedon (Hrsg.). technologies, Vol. 10, No. 1, MDPI, 2022.

To the publication

Arne Hasselbring; Udo Frese; Thomas Röfer

In: Giuseppina Gini; Henk Nijmeijer; Wolfram Burgard; Dimitar Filev (Hrsg.). Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics. International Conference on Informatics in Control, Automation and Robotics (ICINCO-2022), July 14-16, Lisbon, Portugal, Pages 201-208, SCITEPRESS, 2022.

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…