Herbert Parzer
Papers
4
Total Citations
11
H-Index
3
About
Herbert Parzer is a robotics researcher specializing in force and position control for high-speed, repetitive industrial applications. His work focuses on enabling robots to interact safely and precisely with their environments, particularly in tasks requiring unknown or nonlinear contact dynamics. Parzer’s major contributions include developing learning-based control strategies that combine iterative learning control (ILC) with force/position regulation, allowing robots to adapt to varying contact stiffness during high-speed operations—critical for polishing, assembly, and cutting tasks. His 2015 paper on learning robot force/position control for high-speed applications (3 citations) and his 2014 work on dynamic modeling and force control of a redundant robot for polishing (3 citations) demonstrate his focus on practical, real-world manufacturing challenges. Parzer has also advanced the field by addressing the determination of unknown unactuated joint axes in compliant kinematic chains using force control and Krylov power iteration methods (2017, 2 citations). While his citation counts are modest, his research provides foundational insights for engineers developing adaptive force control systems in industrial robotics, bridging the gap between theoretical control theory and high-speed, repetitive manufacturing tasks.
Research Focus
Key Achievements
Top Papers
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