Max Robotics — Global Service Robot Directory + US Certification

About

Gakuto Masuyama is a robotics researcher whose work focuses on enabling mobile robots to perceive and navigate dynamic, real-world environments. His primary research areas include computer vision, target tracking, and autonomous navigation, with a particular emphasis on robust perception under challenging conditions. Masuyama’s major contributions center on developing vision-based systems that allow robots to reliably follow humans and detect moving objects, even when faced with occlusion, illumination changes, or crowded spaces. His most cited work, “Occlusion handling for a target-tracking robot with a stereo camera” (19 citations), introduces a method that fuses color and disparity data to maintain tracking continuity. Another key paper, “Human following with a mobile robot based on combination of disparity and color images” (11 citations), demonstrates a system robust to sunlight and lighting variations. Masuyama has also tackled navigation in dynamic environments, proposing a method that leverages pedestrian flow to help robots move through crowds. His work on a compact range image sensor for robot hands further showcases his interest in practical, real-time sensing solutions. With a cumulative impact of over 50 citations, Masuyama’s research provides foundational techniques for mobile robots operating in unpredictable, human-centered settings.