The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2016
Session ID : 1P1-15a5
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Evaluation of Learning Precision in Solo Task Model with Oar Force Feedback Joysticks
Masahiro KATOHiroshi IGARASHI
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Abstract

Recently, the neural network is used in teamwork assist studies to predict the solo task model. Prediction accuracy of the solo task model is required to be investigated. Therefore, prediction accuracy of the solo task model was verified with general joysticks. However, prediction accuracy of neural network has not been verified when predict the solo task models with force feedback joysticks. Furthermore, the study uses a driving task. However, in this study, oar model force feedback joysticks are developed which used the rowing boat task in the future. Accordingly, in this study, we verify the prediction accuracy in the neural network learning with oar model force feedback joysticks.

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© 2016 The Japan Society of Mechanical Engineers
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