Papers

20

Total Citations

380

H-Index

11

About

Bernd Finkemeyer is a leading figure in intelligent robotic manipulation, whose work bridges the gap between theoretical control theory and practical industrial applications. His core research focuses on sensor-based robot control, force/position control, and task-level programming. Finkemeyer is best known for developing the concept of *Manipulation Primitives* and *Skill Primitive Nets*, which provide a universal, error-tolerant interface between high-level robot programming and low-level sensor-based motion control. His seminal papers on these topics, including "Executing assembly tasks specified by manipulation primitive nets" and "Error-tolerant execution of complex robot tasks based on skill primitives," have each garnered over 65 citations, establishing a foundational framework for compliant assembly. He has also made significant contributions to practical implementations of Mason’s Task Frame Formalism, making complex hybrid force/velocity control accessible for real-world use. Notably, his work "A manipulator plays Jenga" demonstrated the successful integration of force control, distance control, and real-time distributed systems in a complex, interactive task. With a total of over 300 citations across his most influential works, Finkemeyer’s research has been instrumental in advancing the reliability and safety of industrial robots, paving the way for modern human-robot collaboration.

Research Focus

Key Achievements

11
H-Index
20
Papers
380
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Executing assembly tasks specified by manipulation primitive nets
67 citations · 2005
📈 Most Prolific Year: 2005 (4 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Technische Universität Braunschweig, KUKA (Germany), Augsburg University, Hochschule für Angewandte Wissenschaften Kiel

Top Papers

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    A manipulator plays Jenga
    25 citations · 2008
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Key Collaborators

Contact & Links

Available for collaboration
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