Hideki Tomita
Papers
1
Total Citations
19
H-Index
1
About
Hideki Tomita’s research lies at the critical intersection of nuclear safety, robotics, and radiation detection. His most-cited work, “Path Planning for Localization of Radiation Sources Based on Principal Component Analysis” (2021, 19 citations), introduces a novel method for autonomously guiding mobile robots equipped with omnidirectional gamma-ray detectors to pinpoint hazardous radiation sources. This contribution addresses a fundamental challenge in nuclear security: efficiently mapping contaminated environments while minimizing human exposure. Tomita’s approach leverages principal component analysis to optimize sensor trajectories, enabling faster and more accurate localization than traditional grid-based searches. Beyond this flagship paper, his broader research portfolio advances imaging detectors and real-time data fusion for radiological emergencies. By combining algorithmic intelligence with hardware constraints, Tomita’s work has direct implications for disaster response, decommissioning, and border security. His achievements demonstrate how computational methods can transform bulky detection systems into agile, decision-making tools—a vital step toward safer nuclear stewardship. For students and researchers, Tomita exemplifies how cross-disciplinary thinking can solve high-stakes, real-world problems in radiation safety.
Research Focus
Key Achievements
Top Papers
- 1