Ben Allen Gumpert
Papers
1
Total Citations
23
H-Index
1
About
Ben Allen Gumpert is a researcher whose work lies at the intersection of robotics, computer vision, and control systems. His most impactful contribution, the 2003 paper "Uncalibrated eye-in-hand visual servoing," has garnered 23 citations and addresses a fundamental challenge in vision-guided robotics: enabling a robot to track a moving target without prior knowledge of its own kinematic model or camera calibration. This work introduced innovative control schemes that allow a moving camera mounted on a robot (eye-in-hand configuration) to robustly follow objects in real time, even when system parameters are unknown. By eliminating the need for tedious calibration procedures, Gumpert's approach made visual servoing more practical and adaptable for real-world applications. His research has implications for autonomous manipulation, industrial automation, and human-robot interaction, where flexibility and ease of deployment are critical. While this paper remains his most cited, it showcases his ability to bridge theory and practice in robotic perception and control, offering a foundation for subsequent advances in uncalibrated visual servoing.
Research Focus
Key Achievements
Top Papers
- 1Uncalibrated eye-in-hand visual servoing23 citations · 2003