Papers
9
Total Citations
104
H-Index
5
About
Michael Neubauer is a robotics and control systems researcher whose work centers on improving the precision, safety, and usability of industrial robots. His most significant contributions lie in advanced motion control, vibration damping, and robot calibration — areas critical to expanding industrial robots into demanding applications such as machining. His 2021 paper on robust independent joint control with secondary encoders has accumulated 49 citations, establishing him as a notable voice in high-accuracy robot control, while his drive-based vibration damping method (2019, 28 citations) demonstrated meaningful improvements in machining quality by addressing the elastic behavior of robot gearboxes. Neubauer has consistently tackled the fundamental challenge of joint flexibility, developing nonlinear elasticity models, feedforward compensation strategies, and semi-active damping approaches to enhance positioning accuracy without costly hardware overhauls. More recently, his research has broadened to encompass human-robot coexistence safety, open control and simulation platforms, and even natural language robot programming — reflecting a growing interest in making robots more accessible and collaborative. Taken together, his body of work represents a practical, systems-level approach to bridging the gap between industrial robot capabilities and the precision demands of modern manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Drive-Based Vibration Damping Control for Robot Machining28 citations · 2019
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- 5Semi-active damping for industrial robots6 citations · 2025
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