Yutaka Takahashi

Papers

Total Citations

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About

Yutaka Takahashi is a researcher whose work sits at the intersection of medical robotics and motion analysis, with a particular focus on improving the precision of robotic radiosurgery systems. His most cited paper, "Reference respiratory waveforms by minimum jerk model analysis" (2015), addresses a critical challenge in the CyberKnife® system: the mechanical stress and tracking errors caused by rapid, irregular respiratory motion. By applying a minimum jerk model to generate smoother, more predictable reference waveforms, Takahashi's work directly enhances the system's ability to track tumors with sub-2 mm accuracy during treatment. This contribution is vital for reducing mechanical wear and improving patient outcomes in stereotactic body radiation therapy. While his citation count (5) reflects a specialized, niche audience, the impact of his research is felt in clinical settings where precision and reliability are paramount. Takahashi’s engineering approach—bridging biomechanics and control theory—offers a practical solution to a real-world medical problem, making his work a valuable reference for researchers developing adaptive motion compensation algorithms in robotic surgery.