Matthias Weigold

Technische Universität Darmstadt

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

5
H-Index
8
Papers
439
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and Identification of an Industrial Robot for Machining Applications
317 citations · 2007
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Technische Universität Darmstadt

Top Papers

  1. 1
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    Increasing the accuracy of a milling industrial robot
    14 citations · 2006
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    High Speed Cutting with Industrial Robots: Towards Model Based Compensation of deviations
    5 citations · 2008
  8. 8

Key Collaborators

Contact & Links

Available for collaboration
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