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From Gestures to Behaviours: An Empirical Study on Behaviour-Driven Development Scenarios to Support End-User Programming of Collaborative Robots
University of Southern Denmark, Denmark.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics (from 2013).ORCID iD: 0000-0002-6865-7346
Karlstad University.
Ritsumeikan University, Japan.
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2024 (English)In: Proceedings International Symposium on Robotics and Mechatronics / [ed] Lotfi Romdhane, Abdelfattah Mlika, Saïd Zeghloul, Abdelbadia Chaker, Med Amine Laribi, Springer, 2024, Vol. 158, p. 369-381Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we introduce an end-user programming approach for defining interaction sequences with collaborative robots using gestures. The approach relies on a textual domain-specific language (DSL) to allow end users to specify the expected robot behaviour through Behaviour-Driven Development (BDD) scenarios. To evaluate the feasibility of our approach, we conducted a user study with 12 participants having an entry level in programming. The participants were asked to code a sequence in which the collaborative robot responds to their body gestures by performing a pick-and-place task. The study’s findings indicate that the method is both effective and user-friendly for individuals with limited programming experience, while highlighting opportunities for adopting new end-user development practices. 

Place, publisher, year, edition, pages
Springer, 2024. Vol. 158, p. 369-381
Series
Mechanisms and Machine Science, ISSN 2211-0984, E-ISSN 2211-0992 ; 158
Keywords [en]
Digital subscriber lines, Microrobots, Multipurpose robots, Robot applications, Robot programming, Social robots, Behavior-driven development, Collaborative robots, Development scenarios, Domain-specific language, Domains specific languages, Empirical studies, End-user programming, End-users, Industry 5.0, Multimodal Interaction, Collaborative robots
National Category
Robotics and automation Computer Sciences
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kau:diva-102140DOI: 10.1007/978-3-031-59888-3_33Scopus ID: 2-s2.0-85206092078ISBN: 978-3-031-59887-6 (print)ISBN: 978-3-031-59888-3 (electronic)OAI: oai:DiVA.org:kau-102140DiVA, id: diva2:1910633
Conference
8th IFToMM International Symposium on Robotics and Mechatronics, Djerba, Tunisia, April 17-19, 2024.
Available from: 2024-11-05 Created: 2024-11-05 Last updated: 2025-10-16Bibliographically approved

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Solis, Jorge

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