G.D. van Albada

University of Amsterdam

Papers

6

Total Citations

56

H-Index

4

About

G.D. van Albada is a robotics researcher whose work has centered on robot calibration, optical measurement systems, and autonomous mobile robotics. Based at the University of Amsterdam, van Albada made significant contributions to improving the precision and practicality of industrial robot calibration during the 1990s, a period when off-line programming techniques were emerging as critical alternatives to time-consuming manual robot teaching methods. Van Albada's most influential contribution — a low-cost pose-measuring system for robot calibration (1995, 27 citations) — addressed a pressing industrial challenge: enabling accurate kinematic modeling of robots without expensive dedicated equipment. This work, alongside related research into eye-in-hand calibration techniques and optical measurement methods, emerged partly from the European ESPRIT research project CAR 5220, which aimed to enhance the absolute positional accuracy of industrial robots. The recurring emphasis on portability, accuracy, and affordability across multiple publications reflects a practical engineering philosophy aimed at real-world deployment. Beyond calibration, van Albada also explored software architectures for autonomous mobile robots, demonstrating breadth across the robotics discipline. With cumulative citations spanning hardware design, parameter identification, and simulation frameworks, van Albada's body of work remains a useful reference point for researchers studying the foundations of robot calibration methodology.

Research Focus

Key Achievements

4
H-Index
6
Papers
56
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A low-cost pose-measuring system for robot calibration
27 citations · 1995
📈 Most Prolific Year: 1994 (3 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Amsterdam

Top Papers

  1. 1
  2. 2
    Eye in hand robot calibration
    11 citations · 1994
  3. 3
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago