Yuhei Sugata

About

Yuhei Sugata is a researcher at the forefront of hardware-accelerated robotics, specializing in the integration of Field Programmable Gate Arrays (FPGAs) into robotic systems to overcome the performance bottlenecks of traditional microprocessors. His work focuses on enabling complex, real-time information processing—such as SLAM (Simultaneous Localization and Mapping) and Deep Neural Networks (DNNs)—with high energy efficiency, a critical requirement for intelligent and autonomous robots. Sugata’s major contributions include pioneering methods for accelerating Publish/Subscribe messaging in ROS-compliant FPGA components (31 citations) and developing high-level synthesis techniques for ROS protocol interpretation and communication circuits (21 citations), which significantly improve the productivity of robot development by encapsulating hardware descriptions within ROS nodes. He has also advanced autonomous driving technology with a single-line search method for white line detection on FPGA. By bridging the gap between software-defined robotics and hardware acceleration, Sugata’s work is paving the way for more responsive, power-efficient autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Acceleration of Publish/Subscribe Messaging in ROS-compliant FPGA Component

   31 citations · 2017
2. 2
   High Level Synthesis of ROS Protocol Interpretation and Communication Circuit for FPGA

   21 citations · 2019
3. 3
   Development of a Robot Car by Single Line Search Method for White Line Detection with FPGA

   6 citations · 2018

Key Collaborators

Contact & Links