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An Optimal Assistive Control Strategy based on User's Motor Goal Estimation

Autor: Furukawa, Jun-ichiro, Morimoto, Jun

In this study, we propose an optimal assistive control strategy that uses estimated user's movement intention as the terminal cost function. We estimate the movement intention by observing human user's joint angle, angluar velocity, and muscle activi

Externí odkaz: http://arxiv.org/abs/1909.02288

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Correction: Wireless recording from unrestrained monkeys reveals motor goal encoding beyond immediate reach in frontoparietal cortex

Autor: Michael Berger, Naubahar Shahryar Agha, Alexander Gail

Publikováno v: eLife, Vol 10 (2021)

Externí odkaz: https://doaj.org/article/6afc6dcfd7084f51b3c01a9550364268

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Composing an Assistive Control Strategy Based on Linear Bellman Combination From Estimated User's Motor Goal

Autor: Jun-ichiro Furukawa, Jun Morimoto

Publikováno v: IEEE Robotics and Automation Letters. 6:1051-1058

In assistive control strategies, we must estimate the user's movement intentions. In previous studies, such intended motions were inferred by linearly converting muscle activities to the joint torques of an assistive robot or classifying muscle activ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::97c1fd623ea21aa4442df007ebc2172e
https://doi.org/10.1109/lra.2021.3051562

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Akademický článek

Wireless recording from unrestrained monkeys reveals motor goal encoding beyond immediate reach in frontoparietal cortex

Autor: Michael Berger, Naubahar Shahryar Agha, Alexander Gail

Publikováno v: eLife, Vol 9 (2020)

System neuroscience of motor cognition regarding the space beyond immediate reach mandates free, yet experimentally controlled movements. We present an experimental environment (Reach Cage) and a versatile visuo-haptic interaction system (MaCaQuE) fo

Externí odkaz: https://doaj.org/article/18ba8fe468a242af8688926384439048

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