Masafumi Hashimoto
Hiroshima University, Doshisha University, Hiroshima City University, Osaka Prefecture University
Papers
44
Total Citations
556
H-Index
13
About
Masafumi Hashimoto is a robotics researcher whose work spans mobile robot systems, fault detection, neural network control, and human-robot interaction. His most influential contributions lie at the intersection of multi-robot coordination and intelligent sensing, with early foundational work addressing the cooperative transport of heavy objects by multiple wheeled mobile robots. His 2002 paper introducing a dynamic control framework for this challenge — leveraging novel couplers to accommodate nonholonomic constraints — has accumulated 63 citations, as has his subsequent multi-model approach to fault detection and diagnosis in mobile robot sensors. Hashimoto's research on interacting multiple-model (IMM) methods for sensor fault identification in dead-reckoning systems has similarly shaped robust robot navigation, earning 56 citations. His work extends into laser-based pedestrian tracking using cooperative mobile robot teams in outdoor environments, advancing real-world human-aware navigation. More recently, Hashimoto has explored cutting-edge neural network architectures — including quaternion and quantum neural networks — for robot manipulator control, alongside emotionally expressive robot design grounded in Laban movement theory and Ekman's emotion framework. Together, his publications reflect a career dedicated to making autonomous robots more reliable, coordinated, and socially aware.
Research Focus
Key Achievements
Top Papers
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- 6A Laser Based Multi-Target Tracking for Mobile Robot.28 citations · 2006
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- 10Remarks on designing of emotional movement for simple communication robot16 citations · 2010