Michael J. Seelinger
Papers
10
Total Citations
174
H-Index
6
About
Michael J. Seelinger is a robotics researcher whose career has centered on vision-guided robotic systems, with particular expertise in camera-space manipulation, uncalibrated visual control, and autonomous industrial applications. His most influential contribution — "Automatic Visual Guidance of a Forklift Engaging a Pallet" (2006, 75 citations) — demonstrated the practical power of computer vision in automating material handling, a problem with significant real-world industrial relevance. Building on this, his 2003 work on multi-camera, multi-target robot control (30 citations) established efficient frameworks for three-dimensional robotic guidance without relying on camera calibration, a technically demanding and impactful advance. Seelinger's earlier research laid critical groundwork in applying uncalibrated vision to robotic plasma spraying (1998, 27 citations), showing that vision-based systems could achieve high precision in both position and orientation for complex coating operations. His 1999 paper on camera-space target disposition further refined estimation methods for manipulator control in unstructured environments. Across his body of work, Seelinger consistently pursued practical, calibration-free solutions to difficult robotic guidance problems, spanning industrial manipulators, construction robots, and heterogeneous mobile systems — reflecting a career dedicated to bridging theoretical vision-based control with real-world automation challenges.
Research Focus
Key Achievements
Top Papers
- 1Automatic visual guidance of a forklift engaging a pallet75 citations · 2006
- 2
- 3Towards a robotic plasma spraying operation using vision27 citations · 1998
- 4An alternative approach for image-plane control of robots11 citations · 2007
- 5
- 6
- 7
- 8
- 9Control of Construction Robots using Camera-Space Manipulation3 citations · 1996
- 10Visual Coordination of Heterogeneous Mobile Manipulators2 citations · 2006