Midori Sugaya

Papers

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About

Midori Sugaya is a robotics and embedded systems researcher whose work centers on the intersection of autonomous systems, real-time computing, and robot middleware. Her research focuses on integrating Field-Programmable Gate Arrays (FPGAs) with the Robot Operating System 2 (ROS2) framework to develop efficient, intelligent robotic platforms. Her most notable work introduces an autonomous miniature robot car capable of camera-based lane detection, traffic signal recognition, obstacle avoidance, and pedestrian detection — all coordinated through multiple ROS2 FPGA nodes working in concert. This contribution demonstrates how hardware acceleration via FPGAs can be seamlessly embedded within a modular robotics middleware architecture, enabling real-time autonomous decision-making on resource-constrained platforms. While still accumulating citations with 4 to date, this work represents a meaningful step forward in making autonomous driving functionality accessible at small scales and low cost, with clear implications for educational robotics, rapid prototyping, and edge computing research. Sugaya's contributions are particularly valuable to students and engineers exploring how modern robot software frameworks can leverage reconfigurable hardware to meet the demanding computational requirements of autonomous systems.