Masayuki HIYAMA

Papers

Total Citations

H-Index

About

Masayuki Hiyama is a robotics researcher whose work centers on vision-based navigation and motion control for wheeled mobile robots. His most cited paper, "Vision-based playback method of wheeled mobile robots" (2000), introduces an innovative approach to robot path reproduction by segmenting trajectories into straight and curved components, with curved sections approximated using Bézier curves to reduce data volume. This contribution addresses key challenges in efficient path storage and accurate trajectory tracking, enabling robots to replay learned routes with minimal computational overhead. Though his citation count is modest—with his top paper garnering 3 citations—Hiyama's work represents foundational thinking in the integration of visual feedback and path planning for autonomous mobile systems. His research is particularly relevant for applications in industrial automation and service robotics, where reliable playback of learned paths is essential. Hiyama's approach to data compression through curve approximation demonstrates practical engineering insight, balancing precision with efficiency. For students and researchers exploring mobile robot navigation, his work offers a clear example of how geometric modeling can simplify complex motion control problems.