Papers
7
Total Citations
107
H-Index
4
About
Matthias Neubauer is a leading researcher in industrial robotics, specializing in the calibration, dynamic modeling, and high-precision control of robotic manipulators. His work addresses critical challenges in achieving sub-millimeter accuracy for high-speed manufacturing applications. Neubauer’s most influential contribution is a persistent method for parameter identification of seven-axes manipulators (34 citations), which uses the Projection Equation to linearly collect dynamic and friction parameters—a foundational technique for robot simulation and control. He also developed a two-stage calibration method (23 citations) that accounts for joint and drive flexibilities, significantly improving positioning accuracy over traditional geometric approaches. For orientation planning, Neubauer introduced smooth path generation using quaternions and B-splines (22 citations), ensuring continuous angular velocity and torque profiles essential for high-speed tasks. His work on optimizing robots for accurate high-speed applications (19 citations) provides a framework for pushing existing and new machines to their performance limits. Neubauer’s research is instrumental for engineers designing robots for polishing, assembly, and cutting, where precision and dynamic performance are paramount.
Research Focus
Key Achievements
Top Papers
- 1A persistent method for parameter identification of a seven-axes manipulator34 citations · 2014
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- 3Smooth orientation path planning with quaternions using B-splines22 citations · 2015
- 4Optimizing Industrial Robots for Accurate High-Speed Applications19 citations · 2013
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- 7Static Positioning Accuracy of a Redundant Robotic System2 citations · 2013