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research article

Data-Driven Personalization of Body-Machine Interfaces to Control Diverse Robot Types

Macchini, Matteo  
•
Jarvis, Benjamin  
•
Schiano, Fabrizio  
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October 21, 2024
IEEE Transactions on Systems, Man, and Cybernetics: Systems

Body-machine interfaces for robotic teleoperation have been shown to improve user experience and performance. However, such interfaces must be tailored for each robot type and may require personalization to accommodate user's preferences. Here, we present a novel method to adaptively generate personalized body-machine interfaces from an operator's preferred body movements. The method captures individual motor synergies that are correlated to robot actions and translates them into control commands. The proposed method is validated on a set of users with varied behavioral patterns for teleoperating robots with diverse morphologies and degrees of freedom, such as a fixedwing drone, a quadrotor, and a robotic manipulator.

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Type
research article
DOI
10.1109/TSMC.2024.3478113
Author(s)
Macchini, Matteo  
Jarvis, Benjamin  

EPFL

Schiano, Fabrizio  
Floreano, Dario  

EPFL

Date Issued

2024-10-21

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Published in
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume

55

Issue

1

Start page

353

End page

365

Subjects

Dimensionality reduction

•

immersive experience

•

telerobotics

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIS  
FunderGrant Number

European Union’s Horizon 2020 Research and Innovation Programme

871479

AERIAL-CORE

Swiss National Science Foundation

200021-155907 ; 200020212077

Available on Infoscience
November 20, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/242084
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