Papers
7
Total Citations
51
H-Index
5
About
Keita Takahashi is a researcher whose work bridges the fields of robotics and surgical education. His primary research areas include human-robot interaction, particularly the development of accompanying mobile robots, and the assessment of workload and competency in surgical training. Takahashi’s major contributions lie in the control of companion robots using artificial potential fields, enabling them to dynamically adapt their position relative to a person in changing environments—a key step toward seamless human-robot collaboration. His most cited work, “Unified environment-adaptive control of accompanying robots using artificial potential field” (2013, 12 citations), and its follow-up studies have laid foundational methods for robots to move side-by-side with humans while safely adjusting to obstacles. In a notable shift, Takahashi has also applied his analytical skills to healthcare, co-authoring a prospective study on surgeons’ workloads (2024, 8 citations) and a gap analysis of urology training competencies (2024, 5 citations). These works highlight the mental and physical demands of modern surgery and the misalignment between trainee confidence and instructor expectations. With over 50 citations across his portfolio, Takahashi’s research is impactful for both roboticists designing assistive machines and medical educators refining surgical training.
Research Focus
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