Shinichi Ikegami

Papers

Total Citations

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About

Shinichi Ikegami is a researcher at the forefront of human-robot interaction, with a particular focus on intuitive control systems. His key research areas include mobile robot control, natural user interfaces (NUI), and hand gesture detection technologies. Ikegami’s major contribution lies in developing methods that allow humans to control machines through natural, non-verbal communication—specifically by detecting and tracking hand movements via skin color recognition. This work addresses a fundamental challenge in robotics: enabling seamless, instinctive interaction between humans and machines without the need for cumbersome hardware or training. His most-cited paper, "A Study on Mobile Robot Control by Hand Gesture Detection" (2018), has garnered 11 citations, reflecting its foundational role in advancing NUI-based robotics. While his citation count is modest, the work is notable for its practical approach to real-time gesture recognition, laying groundwork for more accessible robot control systems. Ikegami’s research is particularly relevant for students and engineers interested in bridging the gap between human cognition and robotic actuation, offering a glimpse into a future where machines respond as naturally as human companions.