Papers
55
Total Citations
329
H-Index
9
About
Dr. Hiroyuki Masuta is a distinguished roboticist whose research bridges the critical gap between autonomous machine perception and human-robot interaction. His work primarily focuses on intelligent robot vision, sensor fusion, and control architectures for mobile and humanoid robots. A key contribution is his pioneering development of the "Hierarchical Growing Neural Gas" method for creating information-structured spaces, enabling robots to perceive and navigate complex environments by fusing camera and laser range finder data (29 citations). Dr. Masuta has also made significant strides in robot stability, proposing ZMP compensation and inverted pendulum control for bipedal walking (17 citations), and has advanced pipe inspection robotics with novel fiber grating vision sensors (16 citations). Demonstrating a commitment to inclusive technology, he developed the P-CUBE algorithm education tool, which uses physical wooden blocks to teach programming concepts to visually impaired persons (19 citations). His broader impact is evident across a diverse portfolio of work, including multiobjective behavior coordination for mobile robots, 3D plane detection using particle swarm optimization, and passive collision suppression mechanisms for safe human-robot collaboration. With a career spanning over two decades, Dr. Masuta’s research continues to shape the future of intelligent, accessible, and human-friendly robotics.
Research Focus
Key Achievements
Top Papers
- 1Hierarchical growing neural gas for information structured space29 citations · 2009
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- 3Stability control and pattern generation for biped humanoid robot17 citations · 2013
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- 73D plane detection for robot perception applying particle swarm optimization11 citations · 2014
- 8Mechanism of one-legged jumping robot with artificial musculoskeletal system10 citations · 2013
- 9Passive collision force suppression mechanism for robot manipulator9 citations · 2013
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