Tatsuhiro Tamaki

National Institute of Technology Okinawa College

Papers

Total Citations

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About

Tatsuhiro Tamaki is a researcher at the forefront of evolutionary computation and autonomous systems, with a particular focus on applying grammatical evolution (GE) to real-world robotics. His work centers on the automatic design of control programs for autonomous vehicles, demonstrating how evolutionary algorithms can replace manual programming to create adaptive, efficient robot behaviors. In his most cited study, Tamaki successfully used GE to automatically generate control programs for a LEGO MINDSTORM EV3 vehicle robot, integrating the RVW Level Builder platform to simulate and refine autonomous navigation. This approach showcases his contribution to reducing human intervention in robot control design, enabling machines to evolve their own decision-making logic. With over 4 citations on this foundational paper, his research has laid important groundwork for the intersection of evolutionary computation and robotics. Tamaki’s work is particularly notable for its hands-on, experimental methodology—bridging theoretical algorithm design with practical, buildable robot systems. For students and researchers in evolutionary robotics, his studies offer a clear, replicable model for how grammatical evolution can drive innovation in autonomous vehicle control, making complex programming tasks more accessible and automated.