Tomoyuki Shiozaki

Keio University, University of Technology Sydney

Papers

Total Citations

H-Index

About

Tomoyuki Shiozaki is a robotics researcher specializing in vision-based control systems for mobile robots, with a particular focus on hand-eye coordination and autonomous target tracking. His work addresses critical challenges in robotic perception and motion control, especially for systems operating under nonholonomic constraints. Shiozaki's most cited paper (2006, 3 citations) introduces a trackability-based motion control framework for mobile hand-eye systems, enabling robots to autonomously track moving targets across wide areas—a capability with significant implications for surveillance and security applications. He further advanced monocular vision techniques with his 2017 work (2 citations) on metric scale 3D reconstruction, which innovatively combines depth from defocus with image velocity to estimate scene geometry from a single camera with a fixed-focus lens. His earlier 2005 study (2 citations) addresses the practical challenge of maintaining visual contact with target objects during switchback maneuvers by car-like mobile robots, proposing a control strategy that accounts for nonholonomic constraints. While his citation counts are modest, Shiozaki's contributions represent foundational work in integrating visual feedback with mobile robot control, particularly in overcoming the limitations of camera-based perception during complex robotic motions.