Biological Plausibility of Arm Postures Influences the Controllability of Robotic Arm Teleoperation.

bio-inspired robotics embodied cognition inverse kinematics motor control teleoperation

Journal

Human factors
ISSN: 1547-8181
Titre abrégé: Hum Factors
Pays: United States
ID NLM: 0374660

Informations de publication

Date de publication:
03 2022
Historique:
pubmed: 19 8 2020
medline: 20 4 2022
entrez: 19 8 2020
Statut: ppublish

Résumé

We investigated how participants controlling a humanoid robotic arm's 3D endpoint position by moving their own hand are influenced by the robot's postures. We hypothesized that control would be facilitated (impeded) by biologically plausible (implausible) postures of the robot. Kinematic redundancy, whereby different arm postures achieve the same goal, is such that a robotic arm or prosthesis could theoretically be controlled with less signals than constitutive joints. However, congruency between a robot's motion and our own is known to interfere with movement production. Hence, we expect the human-likeness of a robotic arm's postures during endpoint teleoperation to influence controllability. Twenty-two able-bodied participants performed a target-reaching task with a robotic arm whose endpoint's 3D position was controlled by moving their own hand. They completed a two-condition experiment corresponding to the robot displaying either biologically plausible or implausible postures. Upon initial practice in the experiment's first part, endpoint trajectories were faster and shorter when the robot displayed human-like postures. However, these effects did not persist in the second part, where performance with implausible postures appeared to have benefited from initial practice with plausible ones. Humanoid robotic arm endpoint control is impaired by biologically implausible joint coordinations during initial familiarization but not afterwards, suggesting that the human-likeness of a robot's postures is more critical for control in this initial period. These findings provide insight for the design of robotic arm teleoperation and prosthesis control schemes, in order to favor better familiarization and control from their users.

Sections du résumé

OBJECTIVE
We investigated how participants controlling a humanoid robotic arm's 3D endpoint position by moving their own hand are influenced by the robot's postures. We hypothesized that control would be facilitated (impeded) by biologically plausible (implausible) postures of the robot.
BACKGROUND
Kinematic redundancy, whereby different arm postures achieve the same goal, is such that a robotic arm or prosthesis could theoretically be controlled with less signals than constitutive joints. However, congruency between a robot's motion and our own is known to interfere with movement production. Hence, we expect the human-likeness of a robotic arm's postures during endpoint teleoperation to influence controllability.
METHOD
Twenty-two able-bodied participants performed a target-reaching task with a robotic arm whose endpoint's 3D position was controlled by moving their own hand. They completed a two-condition experiment corresponding to the robot displaying either biologically plausible or implausible postures.
RESULTS
Upon initial practice in the experiment's first part, endpoint trajectories were faster and shorter when the robot displayed human-like postures. However, these effects did not persist in the second part, where performance with implausible postures appeared to have benefited from initial practice with plausible ones.
CONCLUSION
Humanoid robotic arm endpoint control is impaired by biologically implausible joint coordinations during initial familiarization but not afterwards, suggesting that the human-likeness of a robot's postures is more critical for control in this initial period.
APPLICATION
These findings provide insight for the design of robotic arm teleoperation and prosthesis control schemes, in order to favor better familiarization and control from their users.

Identifiants

pubmed: 32809867
doi: 10.1177/0018720820941619
pmc: PMC8935468
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

372-384

Références

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Auteurs

Sébastien Mick (S)

556371 Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, Bordeaux, Nouvelle-Aquitaine, France.

Arnaud Badets (A)

556371 Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, Bordeaux, Nouvelle-Aquitaine, France.

Pierre-Yves Oudeyer (PY)

113923 Inria Bordeaux Sud-Ouest, Talence, France.

Daniel Cattaert (D)

556371 Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, Bordeaux, Nouvelle-Aquitaine, France.

Aymar De Rugy (A)

556371 Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, Bordeaux, Nouvelle-Aquitaine, France.
University of Queensland, Brisbane, Australia.

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Classifications MeSH