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On human-in-the-loop optimization of human–robot interaction

  • Patrick Slade*
  • , Christopher Atkeson
  • , J. Maxwell Donelan
  • , Han Houdijk
  • , Kimberly A. Ingraham
  • , Myunghee Kim
  • , Kyoungchul Kong
  • , Katherine L. Poggensee
  • , Robert Riener
  • , Martin Steinert
  • , Juanjuan Zhang
  • , Steven H. Collins*
  • *Corresponding author for this work
  • Harvard University
  • Carnegie Mellon University
  • Simon Fraser University
  • University Medical Centre Groningen
  • University of Washington
  • University of Illinois at Chicago
  • Korea Advanced Institute of Science and Technology
  • Delft University of Technology
  • Swiss Federal Institute of Technology Zurich
  • University of Zurich
  • Norwegian University of Science and Technology
  • Nankai University
  • Stanford University

Research output: Contribution to journal › Article › Academic › peer-review

140 Citations (Scopus)
846 Downloads (Pure)

Abstract

From industrial exoskeletons to implantable medical devices, robots that interact closely with people are poised to improve every aspect of our lives. Yet designing these systems is very challenging; humans are incredibly complex and, in many cases, we respond to robotic devices in ways that cannot be modelled or predicted with sufficient accuracy. A new approach, human-in-the-loop optimization, can overcome these challenges by systematically and empirically identifying the device characteristics that result in the best objective performance for a specific user and application. This approach has enabled substantial improvements in human–robot performance in research settings and has the potential to speed development and enhance products. In this Perspective, we describe methods for applying human-in-the-loop optimization to new human–robot interaction problems, addressing each key decision in a variety of contexts. We also identify opportunities to develop new optimization techniques and answer underlying scientific questions. We anticipate that our readers will advance human-in-the-loop optimization and use it to design robotic devices that truly enhance the human experience.

Original languageEnglish
Pages (from-to)779-788
Number of pages10
JournalNature
Volume633
Issue number8031
DOIs
Publication statusPublished - 26 Sept 2024

Bibliographical note

Publisher Copyright:
© Springer Nature Limited 2024.

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