Design of varying control based on human’s motion proficiency for human - machine cooperative system under physical interaction
Author:
Affiliation:
1. Tokyo Institute of Technology
Publisher
Japan Society of Mechanical Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/mej/advpub/0/advpub_21-00118/_pdf
Reference16 articles.
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3. Fawaz, H. I., Forestier, G., Weber, J., Idoumghar, L. and Muller, P. A., Evaluating surgical skills from kinematic data using convolutional neural networks, Proc. of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (2018), pp. 214-221.
4. Furuta, K., Kado, Y., Shiratori, S. and Suzuki, S., Assisting control for pendulum-like juggling in human adaptive mechatronics, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, Vol.225, No.6 (2011), pp.709-720.
5. Granados, D.F. Paez, Yamamoto, B.A., Kamide, H., Kinugawa, J. and Kosuge, K., Dance Teaching by a Robot: Combining Cognitive and Physical Human-Robot Interaction for Supporting the Skill Learning Process, IEEE Robotics and Automation Letters, 2, (3) (2017), pp.1452-1459.
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