Tomoki Hayashi

Papers

Total Citations

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About

Tomoki Hayashi is a researcher whose work bridges computer vision and autonomous systems, with a focus on real-time target tracking and human-aware robotics. His most cited paper, "A real-time target tracking method applicable to a robot's vision" (2004), has garnered 2 citations and contributes to the active field of "looking at people" techniques, building on foundational work by Pentland (2000). Hayashi’s research emphasizes developing attribute-information conscious systems, such as the Looking at People System (LPS), which aims to enable robots to perceive and interpret human attributes in real time. This work is pivotal for advancing human-robot interaction and autonomous navigation, where robots must dynamically track and respond to human presence. While his citation count is modest, Hayashi’s contributions are notable for their practical application in robotics vision, particularly in integrating real-time tracking with autonomous decision-making. His efforts align with broader trends in computer vision, pushing toward more intuitive and responsive robotic systems. For students and researchers, Hayashi’s work offers a foundational perspective on the challenges of real-time visual tracking in dynamic environments, highlighting the intersection of perception and action in robotics.