Ryota Kurozumi
Papers
5
Total Citations
28
H-Index
4
About
Ryota Kurozumi is a pioneering researcher in mechatronics and mobile robotics, whose work spans medical support devices, autonomous inspection systems, and intelligent path planning. His most cited paper (2001, 8 citations) explores how mechatronics technology can assist human life from nursing to amusement, laying foundational ideas for assistive robotics. Kurozumi made significant contributions to reinforcement learning-based path planning for mobile robots (2003, 7 citations), addressing the challenge of navigating dynamic environments with moving obstacles. He also developed a small autonomous pipe inspection robot (2016, 5 citations), modularizing hardware using techniques inspired by wooden mosaic work to address Japan's aging sewerage infrastructure. His research on path tracking control using CMAC (Cerebellar Model Articulation Controller) online learning for omnidirectional mobile robots (2002, 3 citations) demonstrates innovative approaches to adaptive control. Kurozumi's work uniquely bridges theoretical advances in machine learning with practical applications in infrastructure maintenance and healthcare, earning recognition for its interdisciplinary impact. His contributions continue to influence the development of robots that operate safely and efficiently in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
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