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Updated: Jul 30, 2025

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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A hierarchical sensorimotor control framework for human-in-the-loop robotic hands.

Lucia Seminara1, Strahinja Dosen2, Fulvio Mastrogiovanni3

  • 1Department of Electrical, Electronic, and Telecommunication Engineering and Naval Architecture, University of Genoa, Genoa, Italy.

Science Robotics
|May 17, 2023
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Summary
This summary is machine-generated.

We developed a new framework to improve artificial hands using touch sensors. This system enhances dexterity by mimicking the human nervous system for better robotic and prosthetic hand control.

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Area of Science:

  • Robotics
  • Neuroscience
  • Biomedical Engineering

Background:

  • Human manual dexterity is highly dependent on tactile feedback.
  • Current robotic and prosthetic hands have limited dexterity and underutilize available tactile sensors.

Purpose of the Study:

  • To propose a novel framework for integrating sensing and action in artificial hands.
  • To enhance the dexterity of human-in-the-loop, haptically enabled robotic and prosthetic hands.

Main Methods:

  • Modeled a hierarchical sensorimotor control system inspired by the human nervous system.
  • Developed a framework to link tactile sensing to motor control in artificial hands.

Main Results:

  • The proposed framework effectively links sensing to action in artificial hands.
  • Demonstrated potential for significantly improving the dexterity of haptically enabled artificial hands.

Conclusions:

  • The hierarchical sensorimotor framework offers a promising approach to enhance artificial hand functionality.
  • This research paves the way for more dexterous and responsive robotic and prosthetic hands.