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Benchmarking Wearable Robots: Challenges and Recommendations From Functional, User Experience, and Methodological

Diego Torricelli1, Carlos Rodriguez-Guerrero2, Jan F Veneman3

  • 1Cajal institute, Spanish National Research Council (CSIC), Madrid, Spain.

Frontiers in Robotics and AI
|January 27, 2021
PubMed
Summary
This summary is machine-generated.

A common framework is needed to benchmark wearable robots (WRs) for real-world use. This involves assessing technical performance, user experience, and establishing reproducible, real-life testing methods for wider adoption.

Keywords:
benchmarkingfunctionmethodologyuser experiencewearable robots

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Area of Science:

  • Robotics
  • Human-Robot Interaction
  • Biomedical Engineering

Background:

  • Wearable robots (WRs) are transitioning from laboratory settings to practical applications.
  • Widespread adoption of WRs necessitates a standardized approach for performance evaluation.
  • Current evaluation methods lack a common framework, hindering effective comparison and development.

Purpose of the Study:

  • To propose a comprehensive benchmarking framework for wearable robots.
  • To identify key determinants for establishing a common methodology for WR evaluation.
  • To guide developers, researchers, clinicians, and end-users in validating WR technology.

Main Methods:

  • Defining three core perspectives for WR benchmarking: technical performance and user impact, user's perceptual/emotional/cognitive experience, and a strategic path for a global methodology.
  • Outlining reproducible experimental procedures that simulate real-life conditions.
  • Synthesizing current challenges and proposing future research directions.

Main Results:

  • Identification of technical performance metrics and physical user impact as a crucial area.
  • Emphasis on understanding the user's subjective experience (perceptual, emotional, cognitive) with WRs.
  • Proposal of a strategic, globally applicable benchmarking methodology incorporating real-world scenarios.

Conclusions:

  • A multi-faceted benchmarking framework is essential for the effective adoption of wearable robots.
  • Integrating technical, user-centric, and practical testing is key to advancing WR development.
  • The proposed framework aims to accelerate research and development in wearable robotics.