Kouta Zenba

Papers

Total Citations

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About

Kouta Zenba is a robotics researcher whose work centers on the development of dexterous robotic hands, with a particular focus on biomimetic actuation and control systems. His most-cited contribution, "Controller Design on the Fingerspelling Robot Hand using Shape Memory Alloy" (2006, 14 citations), introduces a pioneering mechanical architecture for a robot hand capable of expressing fingerspelling. This hand features 20 joints and 16 degrees of freedom, driven by a combination of small DC servomotors and shape memory alloy actuators—a novel approach that balances compactness with expressive motion. Zenba’s work is notable for its integration of smart materials into practical robotic design, enabling nuanced finger movements essential for sign language communication. While his citation count reflects a specialized impact, his research has laid groundwork for assistive robotics and human-robot interaction, particularly in applications requiring fine motor control. Zenba’s contributions highlight the potential of shape memory alloys in creating lightweight, responsive robotic systems, making his work a valuable reference for students and engineers exploring non-traditional actuation methods in robotics.