Mizuho Aoki
Papers
2
Total Citations
8
H-Index
2
About
Mizuho Aoki is a robotics researcher specializing in autonomous vehicle navigation and human-robot interaction, with a focus on highly maneuverable platforms. Their primary research areas include model predictive control for four-wheel independent drive and steering (4WIDS) vehicles—also known as swerve drive robots—and the safe, efficient navigation of autonomous mobile robots in shared spaces. Aoki’s major contribution is the development of a switching sampling space method for the Model Predictive Path-Integral (MPPI) controller, which balances computational efficiency and safety in 4WIDS vehicle navigation. This work addresses the challenge of optimizing commands for eight-degree-of-freedom control inputs, enabling agile movement in narrow environments. Additionally, Aoki has investigated the controllability of interactions between pedestrians and autonomous robots in shared mobility spaces, contributing to safer coexistence. Their most-cited paper (2024) has garnered 6 citations, while a related study on pedestrian-robot interaction (2023) has 2 citations. Aoki’s research advances the practical deployment of highly maneuverable autonomous systems, bridging control theory and real-world safety considerations.
Research Focus
Key Achievements
Top Papers
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