The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2020
Session ID : 2P2-D13
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A study on meal-activities perception-assist for an upper-limb exoskeleton power-assist robot using fuzzy neural networks
*Yue HOUKazuo KIGUCHI
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Abstract

Recently, the aging problem is attracting great attention in Japan. Elderly or physically challenged people whose motor function has declined often have deteriorated environment cognitive abilities. Therefore, power-assist robots with perception-assist function have been proposed to assist such persons. In this paper, a fuzzy neural network method which makes the robot learns target position of the user for eating assist based on the user’s EMG signals, vertex position of hand motion, desk height and information of tool type is proposed. The effectiveness of the proposed method was evaluated by conducting experiments.

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© 2020 The Japan Society of Mechanical Engineers
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