Papers

9

Total Citations

358

H-Index

7

About

A. Jacubasch is a pioneering researcher in industrial robotics, whose work has fundamentally advanced the precision and speed of robotic control systems. His primary research areas include predictive functional control (PFC), elastic robot dynamics, and fuzzy-logic position control. Jacubasch’s most significant contribution is the development and application of PFC, a novel control concept that enables fast, accurate, and robust performance even for elastic mechanical robot structures. His seminal 1987 paper, "Predictive Functional Control - Application to Fast and Accurate Robots," has garnered 167 citations, underscoring its lasting impact on the field. He further demonstrated the efficacy of this approach in controlling elastic industrial robots, achieving high accuracy for complex trajectories and sharp contour deviations. Notable achievements include his work at the Fraunhofer Institute, where he developed position-control algorithms for the highly accurate cutting of geometrically complex metal surfaces, addressing extreme tolerance requirements for hard alloy workpieces. Jacubasch also explored learnable fuzzy-logic concepts for time-optimal, overshoot-free position control, and extended his expertise to hydraulic large-range robots for construction applications. His body of work, spanning over 300 citations, remains essential reading for researchers seeking to enhance robotic performance through advanced control strategies.

Research Focus

Key Achievements

7
H-Index
9
Papers
358
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Predictive Functional Control - Application to Fast and Accurate Robots
167 citations · 1987
📈 Most Prolific Year: 1985 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Fraunhofer Society, Institut für Informationsverarbeitung

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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