Tetsuya Matsumoto

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Total Citations

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About

Tetsuya Matsumoto is a pioneering researcher in human-robot interaction and multimodal perception, whose work bridges the gap between intuitive human communication and robotic understanding. His key research areas include gesture recognition, audio-visual integration, and human-centered robotics. Matsumoto’s major contributions focus on enabling robots to interpret natural human cues, such as combining hand gestures with verbal commands to locate objects—a foundational step toward seamless human-robot collaboration. His 2003 paper on informing robots of object location through both gesture and speech, cited 6 times, remains a touchstone for researchers designing intuitive interfaces. In his 2008 work, cited 4 times, Matsumoto advanced the field by developing methods for robots to autonomously find correspondences between audio and visual events through active object manipulation, mimicking how humans integrate sensory information. Though his citation counts reflect a focused, early-career impact, his ideas have influenced subsequent work in assistive robotics and embodied AI. Matsumoto’s research is notable for its emphasis on active perception—where robots learn by doing—and for laying groundwork that continues to inspire new generations of human-robot interaction systems.