Assistive Arm-Exoskeleton Control Based on Human Muscular Manipulability

Area of Science:

• Robotics
• Biomechanics
• Human-Robot Interaction

Background:

• Conventional arm exoskeleton controllers often neglect human arm biomechanical force properties.
• This limitation can hinder user performance, especially in workspace areas with low force manipulability.

Purpose of the Study:

• To introduce a novel control framework for arm exoskeletons.
• To enhance user performance and reduce effort by utilizing human arm muscular manipulability.

Main Methods:

• Developed a control framework based on arm muscular manipulability.
• Reshaped anisotropic force manipulability into direction-invariant endpoint force manipulability.
• Evaluated the framework through real robot experiments with human subjects.

Main Results:

• The proposed control framework effectively reduces user effort in low-manipulability areas.
• User movement behavior remained unaffected during exoskeleton use.
• Augmented human arm force manipulability allows for consistent task execution throughout the workspace.

Conclusions:

• The novel control framework enhances arm exoskeleton functionality by adapting to human biomechanics.
• This approach enables effective task performance across the entire workspace, improving user experience and reducing physical strain.