Kazuki Komiya

Papers

Total Citations

H-Index

About

Kazuki Komiya is a researcher in evolutionary robotics and autonomous mobile systems, with a focus on developing intelligent controllers for service robots in human-centric environments. His work centers on applying evolutionary algorithms to enable robots to perform complex, high-level tasks without explicit programming. In his most cited study, "Evolving controllers for high-level applications on a service robot: a case study with exhibition visitor flow control" (2011, 10 citations), Komiya demonstrated how evolved neural network controllers could manage visitor traffic flow in an exhibition setting, optimizing robot behavior to guide crowds efficiently. He further explored this domain in "Evolving an effective robot tour guide" (2011, 2 citations), addressing the challenge of using a single mobile robot to simultaneously direct multiple groups of visitors through spaces like museums—a critical early application for commercial service robots. While his citation counts reflect focused, foundational contributions, Komiya’s work is notable for bridging evolutionary computation with practical robotics, offering scalable solutions for real-world deployment. His research remains relevant for students and engineers interested in adaptive robot control, human-robot interaction, and the evolution of autonomous navigation in dynamic social environments.