Gerald J. Agin
Papers
4
Total Citations
84
H-Index
4
About
Gerald J. Agin is a pioneering figure in robotics, whose work has fundamentally shaped how machines perceive and interact with the physical world. His research centers on computer vision, sensor integration, and robotic manipulation, with a particular focus on enabling robots to understand three-dimensional space. Agin’s most significant contribution is the development of a movable light-stripe sensor mounted on a robot hand, a groundbreaking innovation that allowed robots to obtain three-dimensional coordinate measurements for object recognition and positioning. This work, detailed in his highly cited 1983 and 2005 papers (garnering 16 and 30 citations respectively), laid the foundation for modern robotic sensing in industrial automation. His 2018 paper on fitting ellipses and general second-order curves (34 citations) remains a key reference in geometric computer vision. Agin also explored human-robot interaction, studying communication during assembly tasks to inform intelligent robot learning. His sensor design, which integrated a lightweight camera and infrared laser diode, was a notable achievement that directly advanced automated handling of industrial parts. With a career spanning decades, Agin’s research continues to influence robotics, computer vision, and human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1Fitting ellipses and general second-order curves34 citations · 2018
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- 4Analysis of human communication during assembly tasks4 citations · 2005