Motion-Copying System for Reproduction of Human Motions
Abstract:
Reproduction and skill transfer of various human tasks to robots are required not only in automation but also human support. We succeeded in development of a novel method for preserving and reproducing human motion based on motion control technology. This method is called a "motion-copying system (MCS)" as it is a spatio-temporal coupler of real-world haptic information.
As with sound and visual information, the MCS is capable of preserving and reproducing the raw force and position information of human operators. Once human motions are preserved as digital data, it is possible not only to analyze the experts' skills but also to transfer them to a robot. In addition, quantitative training including rehabilitation becomes possible. In the lecture, recent challenges for medical applications will be also presented.
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About the speaker:
Seiichiro Katsura received the B.E. degree in system design engineering and the M.E. and Ph.D. degrees in integrated design engineering from Keio University, Yokohama, Japan, in 2001, 2002 and 2004, respectively. From 2003 to 2005, he was a Research Fellow of the Japan Society for the Promotion of Science (JSPS). From 2005 to 2008, he worked at Nagaoka University of Technology, Nagaoka, Niigata, Japan.
Since 2008, he has been at Department of System Design Engineering, Keio University, Yokohama, Japan. Currently, he is working as a Professor. In 2017, he was a Visiting Researcher with the Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen, Germany. His research interests include applied abstraction, human support, data robotics, wave system, systems energy conversion, and electromechanical integration systems.
Prof. Katsura serves as Senior Editor of IEEE/ASME Transactions on Mechatronics and Associate Editor of the IEEE Journal of Emerging and Selected Topics in Industrial Electronics, and served as Associate Editor of the IEEE Transactions on Industrial Electronics. He was the recipient of The Institute of Electrical Engineers of Japan (IEEJ) Distinguished Paper Awards in 2003 and 2017, Yasujiro Niwa Outstanding Paper Award in 2004, The European Power Electronics and Drives-Power Electronics and Motion Control Conference, EPE-PEMC'08 Best Paper Award in 2008, IEEE Industrial Electronics Society Best Conference Paper Award in 2012, and JSPS Prize in 2016.