Please use this identifier to cite or link to this item: https://doi.org/10.1109/TMECH.2013.2264533
Title: Human-robot collaboration based on motion intention estimation
Authors: Li, Y.
Ge, S.S. 
Keywords: Human-robot collaboration
motion intention estimation
neural networks (NNs)
Issue Date: 2014
Citation: Li, Y., Ge, S.S. (2014). Human-robot collaboration based on motion intention estimation. IEEE/ASME Transactions on Mechatronics 19 (3) : 1007-1014. ScholarBank@NUS Repository. https://doi.org/10.1109/TMECH.2013.2264533
Abstract: In this paper, adaptive impedance control is proposed for a robot collaborating with a human partner, in the presence of unknown motion intention of the human partner and unknown robot dynamics. Human motion intention is defined as the desired trajectory in the limb model of the human partner, which is extremely difficult to obtain considering the nonlinear and time-varying property of the limb model. Neural networks are employed to cope with this problem, based on which an online estimation method is developed. The estimated motion intention is integrated into the developed adaptive impedance control, which makes the robot follow a given target impedance model. Under the proposed method, the robot is able to actively collaborate with its human partner, which is verified through experiment studies. © 1996-2012 IEEE.
Source Title: IEEE/ASME Transactions on Mechatronics
URI: http://scholarbank.nus.edu.sg/handle/10635/82478
ISSN: 10834435
DOI: 10.1109/TMECH.2013.2264533
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