Fabian Wiesel
Papers
6
Total Citations
51
H-Index
4
About
Fabian Wiesel is a robotics researcher whose work has centered on autonomous mobile robots, with particular expertise in robot soccer systems developed through participation in the internationally recognized RoboCup competition. As a key contributor to the FU-Fighters team at Freie Universität Berlin, Wiesel helped advance the state of the art in small and mid-size autonomous soccer robots across multiple competition cycles. His most influential contributions address foundational challenges in robot autonomy: his 2005 paper on anticipatory motor learning (13 citations) demonstrated how omnidirectional robots can adaptively correct driving inaccuracies — even compensating for partial motor failure — through learned corrective commands. His parallel work on computer vision produced practical solutions for automatic color calibration and camera geometry setup, enabling robots to rapidly self-configure in dynamic environments. The MATRIX method (11 citations) introduced a force field pattern-matching approach for robust robot localization using omnidirectional cameras. Together, these contributions reflect a coherent research agenda aimed at making autonomous robots more reliable, self-sufficient, and competition-ready. Wiesel's work remains a useful reference for students exploring robot perception, localization, and adaptive motor control in real-world deployment contexts.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3MATRIX: A force field pattern matching method for mobile robots11 citations · 2003
- 4
- 5FU-Fighters Team Description 20064 citations · 2006
- 6FU-Fighters Small Size 20044 citations · 2004