Matthias Weigold
Papers
8
Total Citations
439
H-Index
5
About
Dr. Matthias Weigold is a leading figure in the field of industrial robotics, with a specific focus on enhancing the precision and capability of robots for high-accuracy machining applications. His core research addresses the fundamental challenge of robot stiffness, developing models and compensation strategies to overcome the inherent flexibility that limits industrial robots in tasks like milling and high-speed cutting. His seminal 2007 work, "Modeling and Identification of an Industrial Robot for Machining Applications," has garnered 317 citations, establishing a foundational framework for the field. Building on this, Dr. Weigold introduced the Cartesian compliance model using virtual joints (2008, 75 citations) and has continued to refine these methods with hybrid compliance compensation techniques (2020) and optimal design approaches using Bayesian inference (2023). His work is critical for enabling "robot-based hybrid production" and advancing the accuracy of industrial robots to meet the demands of modern manufacturing. Beyond technical modeling, Dr. Weigold also contributes to educational innovation, developing competence-oriented training for climateneutral production in learning factories, demonstrating a commitment to sustainable and skilled manufacturing futures.
Research Focus
Key Achievements
Top Papers
- 1Modeling and Identification of an Industrial Robot for Machining Applications317 citations · 2007
- 2Cartesian compliance model for industrial robots using virtual joints75 citations · 2008
- 3Increasing the accuracy of a milling industrial robot14 citations · 2006
- 4
- 5
- 6Robot-Based Hybrid Production Concept5 citations · 2019
- 7High Speed Cutting with Industrial Robots: Towards Model Based Compensation of deviations5 citations · 2008
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