Douglas S. Goodman

IBM Research - Thomas J. Watson Research Center

Papers

1

Total Citations

28

H-Index

1

About

Douglas S. Goodman is a pioneering figure in the intersection of robotic vision and optical instrumentation. His research focuses on the calibration and control of vision sensors, particularly those employing zoom lenses—a critical challenge for enabling adaptive, high-precision robotic perception. Goodman’s most-cited work, "Calibration of a Computer Controlled Robotic Vision Sensor with a Zoom Lens" (1994, 28 citations), introduced foundational methods for dynamically calibrating variable-focus imaging systems, allowing robots to maintain accurate spatial awareness as their visual parameters shift. This contribution has proven essential for applications ranging from automated manufacturing to autonomous navigation, where flexible, real-time vision is paramount. Beyond this landmark paper, Goodman’s broader portfolio addresses the integration of computer vision with robotic control, emphasizing practical calibration techniques that bridge theoretical models and real-world hardware constraints. His work has influenced subsequent generations of researchers in optical metrology and sensor fusion, with his citation record reflecting sustained relevance in the field. For students and engineers exploring robotic perception, Goodman’s research remains a touchstone for understanding how to harness the complexity of zoom optics in autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
28
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Calibration of a Computer Controlled Robotic Vision Sensor with a Zoom Lens
28 citations · 1994
📈 Most Prolific Year: 1994 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: IBM Research - Thomas J. Watson Research Center

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago