Shinya Matsubara
Papers
1
Total Citations
3
H-Index
1
About
Shinya Matsubara is a robotics researcher specializing in human-robot interaction and three-dimensional (3D) visual tracking. His work focuses on enabling mobile robots to perceive and follow humans in dynamic environments, a critical capability for service and collaborative robotics. His most notable contribution is a novel method for 3D human tracking that fuses data from two cameras, integrating detection results to compute precise spatial coordinates. By leveraging OpenPose for human pose estimation, his approach enhances tracking robustness and accuracy, addressing challenges like occlusion and depth perception. Though his highly cited paper (2020) has garnered 3 citations to date, it represents foundational work in multi-camera sensor fusion for mobile robot navigation. Matsubara’s research bridges computer vision and robotics, with implications for autonomous systems in healthcare, logistics, and assistive technology. His work demonstrates a practical, cost-effective solution for real-time human tracking, contributing to safer and more intuitive human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1