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Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
Published on: May 20, 2020
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Robotic thumb grasp-based range of motion optimisation.
Summary
Researchers analyzed robotic prosthetic thumb motion, finding a 76% reduction in required workspace volume for key grasps compared to maximum potential. This optimizes prosthetic hand design for better functionality.
Area of Science:
- Biomechanics
- Robotics
- Prosthetics
Background:
- The thumb is crucial for human hand function, yet prosthetic thumb design lacks established motion range guidelines.
- Current myoelectric prostheses often use arbitrary ranges of motion, potentially limiting functionality.
Purpose of the Study:
- To investigate the functional workspace volume of anatomically accurate prosthetic thumb models.
- To determine if reduced workspace volumes are sufficient for common grasping tasks.
Main Methods:
- Compared four anatomically accurate thumb models.
- Quantified angular ranges of motion using point cloud data.
- Computed alpha-shape bounded volumes to define workspace.
Main Results:
- Identified significant differences in workspace volumes among models.
- Demonstrated a 76% reduction in required workspace volume for specific grasps compared to a generic human thumb's maximum volume.
Conclusions:
- Optimizing prosthetic thumb workspace based on functional grasping needs can significantly reduce volume.
- This approach offers a more efficient design for robotic prosthetic thumbs.
