RESEARCH TEAM

PROJECT
MANEGER

Hirata Yasuhisa, Professor
Department of Robotics,
Graduate School of Engineering
Tohoku University

Prof. Hirata has been conducting research and development on non-driving robots with high safety and wearable devices with vibration devices, aiming to develop robots that support the user to perform independent activities. He is also conducting research and development of multi-robot cooperative systems that can be applied to a wide range of fields from human assistance to environmental exploration. He is currently working on the introduction of human-assistive/human function-enhancing robots, especially in the fields of nursing care and healthcare.

1998 Bachelor’s Degree, 2000 Master’s Degree, and 2004 Ph.D., Tohoku University; 2000-2006 Research Associate, 2006-2016 Associate Professor, and 2016- Professor, Tohoku University; 2020- Project Manager of The Moonshot Research and Development Program, JST; 2016- IEEE Robotics & Automation Society Associate VP for Technical Activities Board, 2016- Co-Chairs of IEEE RSA TC on Rehabilitation and Assistive Robotics, and 2020- IEEE Robotics & Automation Society AdCom Member.

Yasuhisa Hirata, Professor<

RESEARCH TEAM

RESEARCH TEAM

01
R&D item
R&D of AI for human-robot coevolution

R&D of AI for human-robot coevolution

The aim of this R&D is to find out a mechanism of change in self-efficacy, feelings like “I may be able to do it” or “I will try it.” Along with this approach, we set appropriate goals for improving self-efficacy and design behaviors of a collective AI enabled robots.

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02
R&D item
R&D of adaptable AI-enabled robots

R&D of adaptable AI-enabled robots

The aim of this R&D is to develop and build adaptable AI-enabled robots that optimizes their shapes and forms according to users’ conditions including physique, disability, physical ability. By detecting human’s conditions to provide necessary and sufficient assistance, the boundary between assistance and independence is eliminated, and the user are encouraged to act independently.

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03
R&D item
Social implementation of a collective of coevolution AI robots

Social implementation of a collective of coevolution AI robots

The aim of this R&D is to create a system to make the collective of AI-enabled robots we have researched and developed acceptable to society by developing and standardizing safety evaluation criteria and guidelines for robot design and management of shared data based on ELSI (Ethical, Legal and Social Implications), and by integrating the systems through empirical experiments.

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