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About

Takahide Kitamura is a leading researcher in bio-signal-based human-robot interaction, with a focus on using electromyography (EMG) and electrooculography (EOG) to intuitively control robotic systems. His work centers on mapping biological signals from human movement—particularly elbow and shoulder motions—into precise, real-time commands for upper-limb robots. Kitamura’s major contributions include developing a minimum mapping process that classifies three distinct arm movements using only three EMG signals, enabling efficient control of a 2-degree-of-freedom robotic arm. This approach, detailed in his most-cited paper (2021, 17 citations), reduces computational complexity while maintaining high accuracy. His 2020 study (15 citations) further advanced human-robot cooperation by creating a control scheme that allows seamless collaboration between humans and robots using bio-signals. In his 2023 work (10 citations), Kitamura expanded into gaze-based control, combining EOG gaze estimation with camera-based object recognition to enable a 3D robot arm to grasp objects quickly and stably. Collectively, his research has garnered over 42 citations, demonstrating significant impact in assistive robotics and rehabilitation technology. Kitamura’s innovative integration of multiple bio-signal modalities positions him as a key contributor to the future of intuitive, non-invasive robotic control systems.