2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020
DOI: 10.1109/iros45743.2020.9340920
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Adaptive Gait Pattern Generation of a Powered Exoskeleton by Iterative Learning of Human Behavior

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Cited by 7 publications
(2 citation statements)
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“…An upper limb assistive soft exosuit with FCFMs was fabricated and worn on a mannequin holding a dumbbell, and the arm extension time after flexion was improved by 4.5 times. Additionally, the assistive performance of the exosuits for repetitive tasks in specific scenarios was evaluated, and the strong potential of the proposed FCFM for soft exosuits was verified.Wearable robots can assist humans in performing tasks by supporting human muscle strength [1][2][3][4] . Light and soft materials are used in soft wearable robots (exosuits) to easily fit the wearer's body shape and realize free and comfortable motion while minimizing the increase in mass or inertia.…”
mentioning
confidence: 99%
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“…An upper limb assistive soft exosuit with FCFMs was fabricated and worn on a mannequin holding a dumbbell, and the arm extension time after flexion was improved by 4.5 times. Additionally, the assistive performance of the exosuits for repetitive tasks in specific scenarios was evaluated, and the strong potential of the proposed FCFM for soft exosuits was verified.Wearable robots can assist humans in performing tasks by supporting human muscle strength [1][2][3][4] . Light and soft materials are used in soft wearable robots (exosuits) to easily fit the wearer's body shape and realize free and comfortable motion while minimizing the increase in mass or inertia.…”
mentioning
confidence: 99%
“…Wearable robots can assist humans in performing tasks by supporting human muscle strength [1][2][3][4] . Light and soft materials are used in soft wearable robots (exosuits) to easily fit the wearer's body shape and realize free and comfortable motion while minimizing the increase in mass or inertia.…”
mentioning
confidence: 99%