Max Robotics — Global Service Robot Directory + US Certification

About

Hayato Hagiwara is a robotics and embedded systems researcher whose work centers on FPGA-based image processing, autonomous mobile robots, and real-time computer vision. His research has made significant contributions to the development of efficient, hardware-accelerated vision systems that enable robots to navigate, perceive, and respond to their environments in real time. Hagiwara's most influential work, "Real-time image processing system by using FPGA for service robots" (2012, 18 citations), demonstrated how reconfigurable FPGA hardware combined with CMOS imaging and Linux-based communication could deliver robust visual processing for mobile service robots. Building on this foundation, he pioneered stereo vision approaches using gradient feature correspondence and census transform techniques, enabling autonomous robots to accurately map and navigate complex environments. His 3D map construction research, leveraging Structure from Motion alongside stereo vision, further advanced robot spatial awareness and self-positioning capabilities. Beyond navigation, Hagiwara extended his work into humanitarian applications, developing autonomous rescue robots equipped with pyroelectric infrared sensors and thermal cameras to locate earthquake survivors. Across his publication record, accumulating over 50 citations, Hagiwara consistently demonstrates a talent for translating sophisticated computer vision algorithms into practical, real-time hardware implementations — a vital bridge between theoretical research and deployable robotic systems.