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About

Shota Tokunaga is a researcher specializing in autonomous driving systems, robotics middleware, and model-based development frameworks. His work sits at the intersection of the Robot Operating System (ROS) and industry-standard engineering tools, with a particular focus on bridging the gap between open-source autonomous driving platforms and the MATLAB/Simulink ecosystem widely used in automotive development. Tokunaga's most significant contribution is his work on the Autoware Toolbox, a MATLAB/Simulink benchmark suite for the open-source Autoware self-driving platform, which has garnered 21 citations and established a practical pathway for integrating ROS-based systems into automotive-grade development workflows. Building on this, he proposed IDF-Autoware, an integrated development framework enabling co-simulation and operational testing of ROS-based self-driving systems within MATLAB/Simulink environments. His earlier co-simulation framework demonstration (2017) laid the conceptual groundwork for this line of research. Collectively accumulating nearly 40 citations, Tokunaga's body of work addresses a critical challenge in autonomous vehicle engineering: enabling engineers to validate and benchmark complex self-driving software using familiar model-based design tools. His research offers valuable resources for both academic researchers and industry practitioners developing next-generation autonomous systems.