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    Estimating Motor Control Difficulty in Human–Robot Fine Co-Manipulation Tasks Using Brain Activities 

    Source: Journal of Computing and Information Science in Engineering:;2025:;volume( 025 ):;issue: 005:;page 51004-1
    Author(s): Manjunatha, Hemanth; Memar, Amirhossein H.; Esfahani, Ehsan Tarkesh
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Improper controller parameter settings in physical human–robot interaction (pHRI) can lead to instability, compromising both safety and system performance. This study investigates the relationship between cognitive and ...
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    Variable Stiffness Mechanism for Suppressing Unintended Forces in Physical Human–Robot Interaction 

    Source: Journal of Mechanisms and Robotics:;2019:;volume( 011 ):;issue: 002:;page 20915
    Author(s): Jujjavarapu, Sri Sadhan; Memar, Amirhossein H.; Karami, M. Amin; Esfahani, Ehsan T.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents the design of a two-degrees-of-freedom (DoFs) variable stiffness mechanism and demonstrates how its adjustable compliance can enhance the robustness of physical human–robot interaction. Compliance on ...
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    Variable Stiffness Mechanism for Suppressing Unintended Forces in Physical Human–Robot Interaction 

    Source: Journal of Mechanisms and Robotics:;2019:;volume( 011 ):;issue: 002:;page 20915
    Author(s): Jujjavarapu, Sri Sadhan; Memar, Amirhossein H.; Karami, M. Amin; Esfahani, Ehsan T.
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents the design of a two-degrees-of-freedom (DoFs) variable stiffness mechanism and demonstrates how its adjustable compliance can enhance the robustness of physical human–robot interaction. Compliance on ...
    Request PDF
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    DSpace software copyright © 2002-2015  DuraSpace
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