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Aspects Concerning Parallel Robots Used in Rehabilitation.

Adrian Todor1, Daniel Vasile Banyai2, Cornel Brisan3

  • 1Department of Orthopaedics and Traumatology, "Iuliu Hațieganu" University of Medicine and Pharmacy-Cluj-Napoca, 400012 Cluj-Napoca, Romania.

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Summary

This study compares four parallel robotic mechanisms for physical therapy. The best design for adaptive movement control in rehabilitation was identified using simulation and the Analytic Hierarchy Process.

Keywords:
AHPparallel mechanismsrehabilitation roboticssimulation

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Area of Science:

  • Robotics
  • Rehabilitation Engineering
  • Biomechanics

Background:

  • Parallel robotic mechanisms offer precision and rigidity beneficial for rehabilitation.
  • Adaptive movement control and feedback are crucial for effective patient recovery.
  • Existing designs require systematic comparison for optimal clinical application.

Purpose of the Study:

  • To conduct a comparative analysis of four distinct parallel robotic mechanisms for upper and lower limb therapy.
  • To evaluate structural differences and performance metrics of various kinematic chain variants.
  • To determine the most suitable parallel robot design for clinical motor therapy through systematic evaluation.

Main Methods:

  • Developing and implementing kinematic and dynamic models in Matlab-Simulink.
  • Integrating force control with conventional regulators and simulated patient interaction.
  • Applying the Analytic Hierarchy Process (AHP) to assess design suitability based on key criteria.

Main Results:

  • Simulation-based comparative analysis of four parallel robotic mechanisms.
  • Evaluation of structural differences including spherical, rotational, and universal joints.
  • Identification of optimal design parameters for precision, stability, and actuator effort.

Conclusions:

  • Parallel robots are advantageous for rehabilitation due to their precision, rigidity, and compact design.
  • The study provides insights for selecting optimal parallel robotic systems for customized physical therapy.
  • Findings contribute to the advancement of clinical motor therapy robot design and application.