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    This study introduces an active exoskeleton using variable impedance to guide humans away from hazards in low visibility. The system significantly reduces collisions, improving navigation safety when vision is limited.

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    Area of Science:

    • Robotics
    • Human-Computer Interaction
    • Biomechanics

    Background:

    • Limited visibility in dynamic environments poses collision risks and occupational hazards.
    • Existing safety solutions often rely on vibrotactile cues, which have limitations.

    Purpose of the Study:

    • To develop and evaluate a novel exoskeleton-based navigation system using variable impedance control.
    • To guide humans away from obstacles and towards safe areas, enhancing safety in low-visibility conditions.

    Main Methods:

    • Developed a mathematical framework combining artificial potential fields and exoskeleton impedance control.
    • Optimized controller parameters through human-subject experiments.
    • Evaluated the system in virtual reality with occluded vision and randomized obstacle fields.

    Main Results:

    • The active exoskeleton significantly improved obstacle separation compared to vision alone.
    • Reduced collisions were observed in environments with visibility limited to 1.3 meters.
    • Force-feedback integrated with the exoskeleton enhanced human navigation ability.

    Conclusions:

    • Variable impedance exoskeletons offer a promising new approach for improving navigation safety in low-visibility scenarios.
    • Force-feedback exoskeletons can augment human perception and decision-making for hazard avoidance.