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Updated: May 24, 2026

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
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Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

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Sensing pressure distribution on a lower-limb exoskeleton physical human-machine interface.

Stefano Marco Maria De Rossi1, Nicola Vitiello, Tommaso Lenzi

  • 1ARTS Lab, Scuola Superiore Sant'Anna, viale Rinaldo Piaggio 34, 56025, Pontedera (Pi), Italy. s.derossi@sssup.it

Sensors (Basel, Switzerland)
|February 21, 2012
PubMed
Summary
This summary is machine-generated.

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A new sensory apparatus uses soft silicone pressure sensors to measure distributed interaction pressure on lower-limb exoskeletons. This advancement enhances the assessment of safety and comfort in human-robot interactions.

Area of Science:

  • Robotics
  • Biomedical Engineering
  • Human-Robot Interaction

Background:

  • Assessing human-robot interaction in lower-limb exoskeletons is crucial for safety and comfort.
  • Current methods may not fully capture the nuances of pressure distribution at the interface.

Purpose of the Study:

  • To introduce a novel sensory apparatus for monitoring pressure distribution on the human-robot interface of lower-limb exoskeletons.
  • To propose a distributed measure of interaction pressure as an alternative to state-of-the-art methods.

Main Methods:

  • Development and characterization of an array of soft silicone pressure sensors.
  • Integration of sensors into a lower-limb exoskeleton's physical interface.
  • Calibration of the developed interaction measurement apparatus.
Keywords:
distributed force sensorhuman-robot interactionlower-limb exoskeletonphysical human-machine interface

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Last Updated: May 24, 2026

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  • Application of the system to a lower-limb rehabilitation robot.
  • Main Results:

    • The study presents a new sensor and details the development of an interaction measurement apparatus.
    • The apparatus allows for a distributed measure of interaction pressure over the entire contact area.
    • The system was successfully calibrated and demonstrated during a gait training task.

    Conclusions:

    • The proposed sensory apparatus offers a distributed measure of interaction pressure, improving assessment of human-robot interaction.
    • This technology has the potential to enhance safety and comfort in exoskeleton use.
    • The developed system is applicable to rehabilitation robotics and gait training.