Yuki Konno

About

Yuki Konno is a robotics researcher whose work focuses on the integration of autonomous systems, middleware architectures, and hardware acceleration for real-time robotic applications. His most cited paper, “Design and Implementation of ROS2-based Autonomous Tiny Robot Car with Integration of Multiple ROS2 FPGA Nodes” (2022, 4 citations), introduces a compact autonomous vehicle that leverages Robot Operating System 2 (ROS2) to coordinate camera-based lane detection, traffic signal recognition, obstacle avoidance, and pedestrian detection. A key contribution is the seamless integration of multiple FPGA nodes within the ROS2 framework, enabling efficient, low-latency processing for real-time decision-making. This work demonstrates how modular, middleware-driven design can bring sophisticated autonomy to resource-constrained platforms, making it highly relevant for educational robotics and prototyping. While still early in his career, Konno’s research bridges critical gaps between hardware acceleration and software-defined robotics, offering a scalable template for tiny autonomous systems. His achievements highlight the growing importance of ROS2 and FPGA co-design in advancing accessible, high-performance robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Desgin and Implementation of ROS2-based Autonomous Tiny Robot Car with Integration of Multiple ROS2 FPGA Nodes

   4 citations · 2022

Key Collaborators

Contact & Links