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Modelling human postural stability and muscle activation augmented by a supernumerary robotic tail.

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This study used musculoskeletal software to analyze a robotic tail for human augmentation. Results show the wearable robot can reduce lower limb muscle activation, enhancing safe human-robot interaction.

Keywords:
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Area of Science:

  • Robotics
  • Biomechanics
  • Human Augmentation

Background:

  • Wearable robots offer potential for human augmentation.
  • Biomechanical impact must be considered during the design phase of wearable robots.
  • Supernumerary robotic limbs are an emerging area of research.

Purpose of the Study:

  • To assess the biomechanical implications of a supernumerary robotic tail using musculoskeletal software.
  • To determine optimal design specifications for a two-degrees-of-freedom robotic tail.
  • To evaluate the effect of the robotic tail on muscle activation and human-robot interaction.

Main Methods:

  • Utilized musculoskeletal software for biomechanical analysis.
  • Simulated forward and backward tilting motions of a posterior-mounted robotic tail.
  • Assessed key criteria including center of pressure, dynamic wrench, and global muscle activation index.

Main Results:

  • The supernumerary robotic tail reduced lower limb muscle activation during quiet stance.
  • Optimal design specifications involved a trade-off between geometric/inertial properties and muscle assistance.
  • The robotic tail's design influences safe physical human-robot interaction.

Conclusions:

  • Musculoskeletal modeling is effective for evaluating wearable robot biomechanics.
  • A well-designed robotic tail can augment human capabilities by reducing muscle load.
  • Balancing design parameters is crucial for safe and effective human-robot collaboration.