Hideyuki Shimonishi
Papers
3
Total Citations
9
H-Index
3
About
Hideyuki Shimonishi is a leading researcher at the intersection of robotics, cyber-physical systems (CPS), and probabilistic environmental modeling. His work centers on creating trustworthy, real-time digital twins of dynamic, spatio-temporal environments—moving beyond static representations to account for how factors like temperature and radio signal strength evolve over time. A key contribution is his development of predictive uncertainty minimization using Gaussian process regression for robot path planning, enabling autonomous systems to intelligently monitor changing environments rather than simply collecting data. He has also advanced indoor millimeter-wave communication reliability by proposing probabilistic approaches to Received Signal Strength (RSS) map estimation, crucial for safe robot operation in CPS. His highly cited 2024 paper on probabilistic digital-twin representation lays the groundwork for trustable cyber-physical interactions in complex spaces like buildings and cities. With multiple papers each garnering 3 citations in top venues, Shimonishi’s work is foundational for next-generation autonomous systems that must operate reliably amidst real-world uncertainty.
Research Focus
Key Achievements
Top Papers
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