Kotaro Hashikura
Papers
2
Total Citations
8
H-Index
2
About
Kotaro Hashikura’s research advances the frontiers of mobile robotics and human-machine interaction, with a focus on omni-directional platforms and hand kinematics. His most cited work, “The Dynamical Modeling of Four Mecanum Wheel Mobile Robot on Typical Unstructured Terrain” (2024, 6 citations), addresses a critical gap in robotics by providing kinematic and dynamic models for Mecanum-wheeled robots operating on inclined and uneven surfaces—enabling more robust autonomous navigation in challenging environments. In parallel, Hashikura tackles the complexity of hand gesture recognition in “Feature reduction for hand gesture classification: Sparse coding approach” (2023, 2 citations), where he applies sparse coding to reduce high-dimensional hand kinematic data, making real-time gesture classification more efficient for prosthetics and human-robot interfaces. By bridging rigorous dynamical modeling with dimensionality reduction techniques, Hashikura’s work directly supports the development of more agile robots and intuitive control systems. His contributions are particularly valuable for researchers working on field robotics, assistive technologies, and human-robot collaboration, offering practical solutions to long-standing challenges in mobility and gesture interpretation.
Research Focus
Key Achievements
Top Papers
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- 2