Muhammad Bukhori
Papers
1
Total Citations
3
H-Index
1
About
Muhammad Bukhori is a researcher in robotics and computer vision, with a focus on developing real-time object detection and tracking systems for autonomous machines. His most-cited work, "The Design of Object Tracking System in Robot Vision Using Circle Hough Transform and CAMSHIFT Methods" (2018), demonstrates his contribution to integrating classical image processing algorithms with adaptive tracking techniques. By combining Circle Hough Transform for shape detection with CAMSHIFT for color-based tracking, Bukhori advanced the reliability of robot vision in dynamic environments—a critical step for applications in industrial automation and service robotics. Though his citation count is modest, his work represents foundational efforts in making robotic systems more perceptive and responsive. Bukhori’s research bridges theoretical algorithm design with practical implementation, offering valuable insights for students and engineers working on vision-guided robotics. His focus on low-cost, efficient solutions underscores a commitment to accessible technology, making his contributions relevant for researchers developing autonomous systems in resource-constrained settings.
Research Focus
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Top Papers
- 1