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About

Satoshi Ueki is an emerging researcher whose work sits at the intersection of human-robot interaction, autonomous mobile robotics, and intelligent sensing systems. His research focuses on developing intuitive and safe interfaces that allow humans to communicate naturally with robotic platforms in real-world environments such as factory settings. Among his most notable contributions is a gesture-based interface system for autonomous mobile robots (AMRs) that leverages pointing direction recognition rather than conventional point estimation techniques, offering a more robust and practical approach to human-guided robot navigation. This work, published in 2023, has already garnered early citations, reflecting its relevance to industrial robotics. Ueki has also advanced safety-critical control methodologies, contributing to the development of a controller based on control barrier functions utilizing quasi-saturation techniques — an important step toward ensuring reliable autonomous operation. Additionally, his development of a fovea-lens camera system, which mimics the human eye's wide field of view combined with high central resolution, demonstrates a creative bio-inspired approach to human detection and tracking in robotic systems. While his citation counts remain modest given the recency of his publications, his portfolio suggests a productive and methodologically diverse research trajectory with meaningful implications for safe, human-centered robotics.