Boriphat Methachan

National Science and Technology Development Agency

Papers

Total Citations

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About

Boriphat Methachan is a researcher at the forefront of bio-inspired medical robotics, specializing in the development of advanced needle steering systems for minimally invasive procedures. His primary research areas encompass motion tracking, sensor fusion, and adaptive filtering for precise control of flexible needles. Methachan’s major contribution lies in his work on a dual-sheath needle system that mimics the segmented ovipositor mechanism of Hymenoptera species, enabling more accurate and steerable biopsy tools. In his most-cited study, "Hybrid Image-Based Motion Tracking and Adaptive Polynomial Kalman Filter for a Bio-Inspired Dual-Sheath Needle System" (2024), he pioneered a sensor-fusion method combining image-based tracking with an adaptive Kalman filter to enhance motion estimation. This preliminary work, with 2 citations, lays the groundwork for improving needle tip localization and control, potentially reducing tissue damage and improving diagnostic accuracy. Methachan’s innovative approach bridges biology and engineering, offering a promising path toward safer, more effective interventional devices. His research continues to push the boundaries of robotic-assisted surgery, making him a rising voice in the field of medical robotics.