Designing Expandable-Structure Robots for Human-Robot Interaction.

deployable robot deployable structures human-robot interaction modular robot origami robotics shape-changing robots

Journal

Frontiers in robotics and AI
ISSN: 2296-9144
Titre abrégé: Front Robot AI
Pays: Switzerland
ID NLM: 101749350

Informations de publication

Date de publication:
2022
Historique:
received: 02 06 2021
accepted: 15 03 2022
entrez: 28 4 2022
pubmed: 29 4 2022
medline: 29 4 2022
Statut: epublish

Résumé

In this paper, we survey the emerging design space of expandable structures in robotics, with a focus on how such structures may improve human-robot interactions. We detail various implementation considerations for researchers seeking to integrate such structures in their own work and describe how expandable structures may lead to novel forms of interaction for a variety of different robots and applications, including structures that enable robots to alter their form to augment or gain entirely new capabilities, such as enhancing manipulation or navigation, structures that improve robot safety, structures that enable new forms of communication, and structures for robot swarms that enable the swarm to change shape both individually and collectively. To illustrate how these considerations may be operationalized, we also present three case studies from our own research in expandable structure robots, sharing our design process and our findings regarding how such structures enable robots to produce novel behaviors that may capture human attention, convey information, mimic emotion, and provide new types of dynamic affordances.

Identifiants

pubmed: 35480087
doi: 10.3389/frobt.2022.719639
pii: 719639
pmc: PMC9035676
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

719639

Informations de copyright

Copyright © 2022 Hedayati, Suzuki, Rees, Leithinger and Szafir.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Hooman Hedayati (H)

Department of Computer Science, University of Colorado, Boulder, CO, United States.

Ryo Suzuki (R)

Department of Computer Science, University of Calgary, Calgary, AB, Canada.

Wyatt Rees (W)

Department of Computer Science, University of Colorado, Boulder, CO, United States.

Daniel Leithinger (D)

Department of Computer Science, University of Colorado, Boulder, CO, United States.
ATLAS Institute, University of Colorado, Boulder, CO, United States.

Daniel Szafir (D)

Department of Computer Science, University of Colorado, Boulder, CO, United States.
ATLAS Institute, University of Colorado, Boulder, CO, United States.
Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

Classifications MeSH