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Related Experiment Video

Updated: Jun 20, 2026

An Experiment Using Functional Near-Infrared Spectroscopy and Robot-Assisted Multi-Joint Pointing Movements of the Lower Limb
05:25

An Experiment Using Functional Near-Infrared Spectroscopy and Robot-Assisted Multi-Joint Pointing Movements of the Lower Limb

Published on: June 7, 2024

Sensing interfaces for human-robot interaction: a scoping review for robotic walkers.

Fabiana Machado1, Matheus Loureiro2, Jorman Castro2

  • 1Graduate Program in Informatics, Federal University of Espírito Santo (UFES), Vitória, Brazil.

Disability and Rehabilitation. Assistive Technology
|June 18, 2026
PubMed
Summary

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This review explores sensing interfaces for robotic walkers, focusing on user interaction and adaptive assistance. Future robotic walkers need fused sensor data for robust, user-centered mobility partnerships.

Area of Science:

  • Robotics
  • Human-Robot Interaction
  • Assistive Technologies

Background:

  • Robotic walker research is growing, but reviews often overlook sensing interfaces.
  • Existing literature focuses on mechanics and control, not user-robot-environment interaction mediation.

Purpose of the Study:

  • To conduct a scoping review of sensing interfaces for human-robot interaction in robotic walkers.
  • To synthesize how sensing interfaces mediate user, robot, and environment interactions.

Main Methods:

  • Systematic literature search following PRISMA-ScR guidelines across Web of Science, IEEE Xplore, and PubMed.
  • Included 80 studies published between January 2020 and July 2025.
  • Categorized studies into user intent, clinical assessment, safety/navigation, and localization.
Keywords:
Assistive technologyhuman–robot interactionrobotic walkersscoping reviewsensing interfacessensorssmart walkers

Related Experiment Videos

Last Updated: Jun 20, 2026

An Experiment Using Functional Near-Infrared Spectroscopy and Robot-Assisted Multi-Joint Pointing Movements of the Lower Limb
05:25

An Experiment Using Functional Near-Infrared Spectroscopy and Robot-Assisted Multi-Joint Pointing Movements of the Lower Limb

Published on: June 7, 2024

Main Results:

  • Force-based interaction and gait monitoring are key for adaptive assistance.
  • Navigation sensing has evolved from basic obstacle detection to socially aware systems.
  • Clinical validation is lacking, with only 25% of studies involving the target population.

Conclusions:

  • Sensing technologies are crucial for robotic walker development.
  • Intelligent fusion of multimodal sensor data is essential for robust, user-centered robotic walkers.
  • Future systems must prioritize user needs for reliable mobility partnerships.