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Related Experiment Video

Updated: Dec 5, 2025

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

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Man-machine interaction-based motion control of a robotic walker.

Chengjie Zhang1, Shuai Guo1, Fengfeng Jeff Xi2

  • 1Department of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|October 19, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new robotic walker control system that interprets user intentions through interactive forces, improving mobility assistance for disabled individuals and enhancing gait rehabilitation training.

Keywords:
Motion controlactivities of daily livingdisabilitygait trainingintention recognitionkinematicslower rehabilitation robotmobilityquality of liferobotic walkerstrokestroke patients

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Area of Science:

  • Robotics
  • Biomedical Engineering
  • Rehabilitation Technology

Background:

  • Aging populations face increased healthcare needs, including mobility impairments like dyskinesia.
  • Limited mobility significantly impacts stroke patients' daily activities and quality of life.
  • Robotic walkers offer a solution for gait rehabilitation training for individuals with mobility limitations.

Purpose of the Study:

  • To implement an innovative motion control strategy for robotic walkers.
  • To assist disabled individuals by enabling control based on their motion intentions.
  • To enhance gait rehabilitation through intuitive walker interaction.

Main Methods:

  • Developed a kinematic framework for the robotic walker.
  • Proposed an intention recognition algorithm utilizing interactive force signals.
  • Implemented a hybrid motion control system combining T-S fuzzy and PD controllers.

Main Results:

  • The proposed control method accurately recognizes user intentions via interactive forces.
  • The system demonstrated ease of control and superior precision compared to traditional PID controllers.
  • Preliminary experiments confirmed the algorithm's effectiveness in healthy individuals and simulated patients.

Conclusions:

  • The novel motion control method shows significant potential for gait training applications.
  • Users can perform tasks with acceptable error, indicating the system's practical viability.
  • This approach offers a hands-free, intuitive way for users to navigate and control the robotic walker.