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    This study introduces a new robotic control framework that assists human arm movements by focusing on muscle activation and force. This approach enhances rehabilitation and power augmentation for user-centered applications.

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    Area of Science:

    • Robotics
    • Biomechanics
    • Human-Machine Interaction

    Background:

    • Existing robotic systems often control in task or joint space, limiting human-centered applications.
    • Controlling robotic assistance based on muscle activation (muscular space) is challenging due to translation difficulties.
    • A calibrated musculoskeletal model is crucial for understanding the relationship between muscular and task spaces.

    Purpose of the Study:

    • To develop a novel control framework for robotic assistance in human arm movements.
    • To focus control on muscular space variables (muscle activation and force) for enhanced human-robot interaction.
    • To enable muscle-targeted assistance and augmentation for rehabilitation and power enhancement.

    Main Methods:

    • Utilized a calibrated musculoskeletal model based on Hill's muscle model to map human limb kinematics and dynamics.
    • Developed two muscle-targeted control methods: assistance for specific muscle training and augmentation for uniform force exertion.
    • Employed a haptic robot in admittance mode within a simulated viscous environment for experimental validation.

    Main Results:

    • Demonstrated significant improvements in the predictive accuracy of the calibrated musculoskeletal model.
    • Observed substantial changes in targeted muscular efforts through muscle-targeted assistance.
    • Achieved more precise isotropic manipulability compared to previous methodologies.

    Conclusions:

    • The proposed control framework effectively assists human arm movements using robotic devices.
    • The framework is suitable for rehabilitation applications by targeting specific muscle exercises.
    • It offers power augmentation capabilities for human-centered tasks through enhanced manipulability.