Papers
6
Total Citations
38
H-Index
4
About
T. Muto is a pioneering researcher in human-robot interaction, with a particular focus on cooperative systems that mimic the natural dynamics of human-human collaboration. Their work centers on the concept of "co-emergence"—the process by which humans and robots mutually adapt to generate seamless cooperative behaviors, especially in gait support and rehabilitation. Muto's most influential contribution is the development of the "Walk-Mate," a virtual locomotion robot that uses acoustic rhythmic stimuli to improve stride regularity and dynamic stability in individuals with gait impairments. This work, detailed in their 2007 paper (7 citations), demonstrates how robotic systems can entrain to human biological rhythms, a concept rooted in their earlier foundational studies on mutual constraint cycles and internal control models (2002-2003, cumulatively over 25 citations). Muto has also explored interpersonal interaction for skill training, such as handwriting support robots (2009). Their research, while modest in raw citation counts, has been highly influential in shaping the theoretical framework for adaptive human-robot cooperation, particularly in assistive technologies for elderly and disabled populations.
Research Focus
Key Achievements
Top Papers
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- 5Posture Analysis and Evaluation for Modeling in Elderly Adults3 citations · 2017
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