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About

Masaru Hashimoto is a pioneering robotics researcher whose career spans foundational work in robotic sensing, actuation, and human-robot interaction. His most influential contributions center on joint torque sensing for robots equipped with harmonic drives — a technique he introduced in 1993 (111 citations) that cleverly exploits the inherent elasticity of flexsplines to measure torque without compromising mechanical stiffness or requiring structural modifications. This work, revisited and extended in subsequent publications, laid critical groundwork for compliant robot control and interactive robotics. Complementing this, his 1985 paper on shape memory alloy actuators (101 citations) demonstrated early visionary interest in novel, biologically inspired actuation materials. Hashimoto also made significant strides in robot motion control through joint torque feedback schemes, developing computationally efficient approaches robust to dynamic uncertainties. His later research expanded into human-robot interaction, including a neural oscillator-based framework for natural handshaking (57 citations) and synchronization-based motion assist systems — work with clear implications for rehabilitation robotics and physical collaboration. He further explored snake-like locomotion robots, torque-sensing interactive robot arms, and expressive robotic face displays. Across more than two decades, Hashimoto's research consistently bridges mechanical innovation with intelligent, human-centered robot design.