Minoru Kodaira

Papers

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About

Minoru Kodaira is a pioneering researcher in intelligent robotics and neural network control systems. His work focuses on developing adaptive control algorithms for mobile robot vehicles, particularly in obstacle avoidance and speed regulation. In his seminal 1996 paper, "Obstacle avoidance travel control of robot vehicle using neural network" (6 citations), Kodaira introduced a groundbreaking approach that simultaneously integrates path planning and motion command generation, enabling smooth trajectory control through cascaded neural networks. His earlier 1992 work, "Adaptive Speed Control of a Robot Vehicle by Neural Networks" (5 citations), proposed an innovative system combining PID controllers with dual neural networks to dynamically tune gain parameters and provide feed-forward compensation, addressing the challenge of varying vehicle dynamics at different steering angles. These contributions laid crucial groundwork for intelligent vehicle navigation, demonstrating how neural networks can replace traditional control methods to achieve more adaptive and robust performance. Kodaira's research remains influential in the fields of autonomous robotics and adaptive control systems, inspiring subsequent work in neural network-based vehicle control and intelligent transportation systems.