J.D. Bikman

University of North Carolina at Charlotte

Papers

Total Citations

H-Index

About

J.D. Bikman is a robotics researcher whose work bridges computer vision and autonomous systems, with a particular focus on color-based tracking and embedded robotic platforms. His most cited paper, "A vehicle implementation of a color following system using the CMUcam3" (2009, 5 citations), demonstrates a practical application of real-time color tracking using the CMUcam3 and Gears SMP robotics platform. In this work, Bikman developed a system that calculates the center of mass for a specified color within the Y'CrCb color space, enabling a robot to autonomously track and follow that color by controlling servos based on the distance from the center of mass. This contribution showcases his ability to integrate low-cost, accessible hardware with efficient algorithms for vision-guided navigation. While his citation count is modest, his work represents a foundational step in educational and hobbyist robotics, emphasizing simplicity and reproducibility. Bikman’s research is particularly valuable for students and engineers exploring embedded vision systems, offering a clear, implementable approach to color tracking that has inspired further development in autonomous vehicle and robotic following systems.