Armin Burchardt
University of Bremen
5 Papers
26 Citations
Armin Burchardt is an academic researcher from University of Bremen. The author has contributed to research in topics: Parametrization & Monte Carlo localization. The author has an hindex of 3, co-authored 5 publications.
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Papers
Additional DOFs and sensors for bio-inspired locomotion: Towards active spine, ankle joints, and feet for a quadruped robot
Daniel Kuehn,Felix Grimminger,Frank Beinersdorf,Felix Bernhard,Armin Burchardt,Moritz Schilling,Marc Simnofske,Tobias Stark,Martin Zenzes,Frank Kirchner +9 more
- 01 Dec 2011
TL;DR: The design of biologically inspired structural components which should effectively improve the locomotion and mobility characteristics when applied to a robotic system and the planned prototype is used to demonstrate the possibilities of these subsystems by acting collaboratively.
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Distributed Computation in a Quadrupedal Robotic System
Daniel Kuehn,Felix Bernhard,Armin Burchardt,Moritz Schilling,Tobias Stark,Martin Zenzes,Frank Kirchner,Frank Kirchner +7 more
TL;DR: In the proposed quadrupedal robotic system, the front and rear parts are connected via an actuated spinal structure with six degrees of freedom and a foot-like structure equipped with various sensors has been developed.
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Team Description for RoboCup 2010
Thomas Röfer,Tim Laue,Colin Graf,Tobias Kastner,Alexander Fabisch,Christian Thedieck,Arne Humann,Benjamin Markowsky,Carsten Könemann,Daniel Honsel,Emil Huseynli,Felix Wenk,Fynn Feldpausch,Jonas Peter,Martin Ring,Max Trocha,Michael Mester,Ole Jan Lars Riemann,Philipp Kastner,Bastian Reich,Thomas Liebschwager,Wiebke Sauer,Alexander Härtl,Armin Burchardt,Ingo Sieverdingbeck,Judith Müller,Katharina Gillmann,Thijs Jeffry de Haas +27 more
- 01 Jan 2010
TL;DR: B-Human as mentioned in this paper is a joint RoboCup team of the Universitat Bremen and the German Research Center for Artificial Intelligence (DFKI) consisting of numerous undergraduate students as well as two researchers.
1
Optimizing particle filter parameters for self-localization
Armin Burchardt,Tim Laue,Thomas Röfer +2 more
- 01 Jan 2011
TL;DR: This paper presents an approach for optimizing all relevant parameters by using the Particle Swarm Optimization algorithm and has been applied to the self-localization component of a Standard Platform League team and shown to be capable of finding a parameter set that leads to more precise position estimates than the previously used handtuned parametrization.