K. Yerkhan

Papers

Total Citations

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About

K. Yerkhan is a robotics researcher whose work centers on the integration of computer vision with industrial robotic manipulation. Their primary contributions lie in developing practical, vision-guided systems that enhance the autonomy and capability of existing robotic platforms. Yerkhan’s most cited work, "Vision-based Robot Manipulator for Industrial Applications" (2018, 77 citations), details a multi-stage process for creating an object sorting manipulator by integrating a vision system with a Scorbot. This research is notable for its focus on widening the functional range of established hardware through intelligent software, a key step toward flexible automation. By demonstrating how a camera-robot system can be adapted for industrial sorting tasks, Yerkhan has provided a foundational framework for low-cost, vision-driven automation. Their work is particularly valuable for students and engineers seeking to bridge the gap between theoretical computer vision and real-world robotic applications, offering a clear methodology for upgrading legacy systems.