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Sensing and Control Strategies for a Synergy-Based, Cable-Driven Exosuit via a Modular Test Bench.

Ashwin Jayakumar¹, Daniel Rodríguez Jorge¹, Javier Bermejo-García¹

¹Departamento de Ingeniería Mecánica, Energética y de los Materiales, Escuela de Ingenierías Industriales, Universidad de Extremadura, Avda. de Elvas S/N, 06006 Badajoz, Spain.

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Summary

This summary is machine-generated.

This study presents a modular test bench and prototype exosuit for developing cable-driven gait assistance systems. This adaptable design aims to improve active aging by personalizing exoskeleton control for individual patient needs.

Keywords:

cable-driven actuation systems circuit design control exosuit modular test bench postural synergies rehabilitation engineering

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Area of Science:

Robotics
Biomechanics
Gerontology

Background:

Aging leads to muscle loss, joint issues, and reduced mobility, increasing fall risks.
Gait assistance exoskeletons offer a solution for active aging in older populations.
Personalized mechanics and control are crucial for effective exoskeleton use.

Purpose of the Study:

To model and construct a modular test bench and prototype exosuit.
To test various mounting and control schemes for cable-driven exoskeletons.
To enable experimental implementation of multi-joint assistance with single actuators and optimize patient-specific control.

Main Methods:

Development of a modular test bench.
Construction of a prototype cable-driven exosuit.
Implementation of postural and kinematic synergies for multi-joint assistance.
Optimization of control schemes for patient-specific adaptation.

Main Results:

A functional modular test bench and prototype exosuit were created.
The system allows for testing of different mounting and control strategies.
Experimental implementation of multi-joint assistance using a single actuator was demonstrated.
The optimization of control schemes for individual patient characteristics is facilitated.

Conclusions:

The developed test bench and exosuit provide a versatile platform for research.
This open-source design is expected to advance cable-driven exoskeleton systems for active aging.
Personalized control strategies can enhance the effectiveness of gait assistance devices.