Hiroki Matsubara
Papers
1
Total Citations
4
H-Index
1
About
Hiroki Matsubara is a researcher whose work lies at the intersection of robotics, computer vision, and human-robot interaction. His primary research focuses on developing perception systems that enable robots to detect, recognize, and interact with humans in real-world environments. Matsubara’s most cited work, "Human Detection and Face Recognition Using 3D Structure of Head and Face Surfaces Detected by RGB-D Sensor" (2015), addresses a critical challenge for home service robots: the ability to reliably identify and communicate with people. By leveraging 3D structural data from RGB-D sensors, he proposed a method that improves the robustness of face recognition under varying lighting and pose conditions—a significant step toward practical, autonomous domestic robots. While his citation count is still growing, this foundational paper has laid important groundwork for integrating 3D sensing into human-aware robotics. Matsubara’s contributions are particularly valuable for researchers developing assistive technologies and social robots, as his work directly tackles the real-world constraints of deploying vision systems in unstructured home environments. His research continues to push the boundaries of how machines perceive and engage with people.
Research Focus
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Top Papers
- 1