Max Robotics — Global Service Robot Directory + US Certification

About

Masaya Chiba is a robotics researcher whose work centers on the critical challenge of enabling mobile robots to reliably follow and identify specific individuals in dynamic, crowded environments. His primary contributions lie at the intersection of computer vision and autonomous navigation, specifically developing robust person identification and tracking systems. Chiba’s most influential work, a 2013 paper on visual person identification using a distance-dependent appearance model (28 citations), introduced a novel method for robots to maintain a consistent identity lock on a target person even as visual features change with distance. This built upon his earlier SIFT-based identification technique (23 citations), which demonstrated robust performance in complex settings like a bustling school canteen. His foundational 2010 paper on the development and experimental evaluation of a person-following robot (13 citations) established a modular system integrating stereo-based detection, laser-based mapping, and real-time obstacle avoidance. Collectively, Chiba’s research has advanced the practical deployment of service robots, providing key algorithms for long-term, reliable human-robot interaction in uncontrolled, real-world social spaces.