Papers

24

Total Citations

674

H-Index

10

About

Takuya Azumi is a leading researcher in real-time robotics middleware, embedded systems, and autonomous driving software, whose work has fundamentally shaped how the Robot Operating System (ROS) is deployed in safety-critical and performance-demanding environments. His most influential contribution, "Exploring the Performance of ROS2" (2016, 354 citations), provided one of the earliest rigorous evaluations of ROS 2's suitability for real-time distributed systems, becoming an essential reference for robotics developers worldwide. Building on this foundation, Azumi developed ROSCH, a real-time scheduling framework for ROS, and investigated priority and synchronization mechanisms to address long-standing latency and determinism challenges in the platform. His research extends into heterogeneous and many-core computing, demonstrated through ROS-lite for NoC-based embedded platforms and transparent CPU/GPU coordination, reflecting a sophisticated understanding of modern hardware architectures. Azumi has also contributed practical tooling, notably CARET for ROS 2 latency analysis and the Autoware Toolbox for MATLAB/Simulink-based self-driving benchmarks, bridging academic research and industrial application. With cumulative citations exceeding 600 across his most recognized works, his contributions have had measurable impact on autonomous driving, embedded robotics, and real-time systems research communities globally.

Research Focus

Key Achievements

10
H-Index
24
Papers
674
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Exploring the performance of ROS2
354 citations · 2016
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 46
🏛 Institutions: The University of Osaka, Saitama University, Nagoya University

Top Papers

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    Autoware Toolbox
    21 citations · 2019
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago