Chaiyapol Kulpate
Papers
2
Total Citations
26
H-Index
2
About
Chaiyapol Kulpate is a researcher whose work centers on the intersection of robotics, computer vision, and control systems, with a particular focus on visual servoing. His primary contribution lies in developing innovative, cost-effective methods for precise 3D robotic arm positioning using minimal hardware. Kulpate’s most influential work introduces a novel eye-to-hand visual servoing structure that leverages a single fixed camera and a flat mirror, eliminating the need for expensive multi-camera setups. His 2005 paper on this technique, which has garnered 16 citations, demonstrates how image-based visual servoing (IBVS) can achieve accurate 3D positioning by tracking a landmark and its mirror reflection. He further refined this approach in a 2008 study, earning 10 citations, by incorporating panoramic vision to enhance precision. Kulpate’s research is notable for its practical impact, offering a streamlined, low-cost solution for industrial automation and robotic manipulation. His work is particularly valuable for students and engineers seeking efficient visual servoing strategies that maximize performance with constrained resources, making him a key figure in advancing accessible robotic positioning technologies.
Research Focus
Key Achievements
Top Papers
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- 2