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A Theoretical Foundation for Erroneous Behavior in Human–Robot Interaction

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  • Published: 04 February 2025
  • Volume 111, article number 23, (2025)
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Journal of Intelligent & Robotic Systems Aims and scope Submit manuscript
A Theoretical Foundation for Erroneous Behavior in Human–Robot Interaction
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  • Gilde Vanel Tchane Djogdom  ORCID: orcid.org/0000-0003-1602-06821,2,
  • Martin J.-D. Otis1 &
  • Ramy Meziane1,2 

  • 425 Accesses

  • Explore all metrics

Abstract

The advent of mass customization has precipitated a need within the industry for the implementation of collaborative robots, which facilitate the integration of human cognitive capabilities with the speed and repeatability of robots. This coupling, however, engenders a closer collaboration between the partners, thereby necessitating collective synergy to achieve optimal scheduling while circumventing musculoskeletal disorders. It is imperative to study and analyze the behavior of humans and robots in interaction, as the current paradigm strives to achieve an optimal interaction between the two partners with the objective of ensuring productivity, safety, cognitive ergonomics and preventing musculoskeletal disorders. However, human behavior is variable and can, on occasion, give rise to anomalies in the interaction. Consequently, it is imperative that the robot partner exhibits precise behavior, whether proactive or reactive. This paper puts forth a unified perspective on robot behavior when confronted with human abnormal behavior during interaction on the factory floor. This systematic literature review and meta-analysis employs the PRISMA methodology to examine the literature on human and robot behavior in human–robot interaction in an industrial context, with a particular focus on robot behavior when confronted with human abnormal behavior during interaction. A systematic search of nearly 2,609 papers yielded 133 for inclusion in this systematic review. In light of the findings presented in this review, it can be concluded that the selection of robot actions based on human behavior represents a novel area of research that requires further investigation, particularly with regard to proactive online behavioral approaches. Indeed, there is a vast array of robot behavior modalities in response to typical human behavior (e.g., command input). However, there is currently no prescribed robot reaction based on atypical human behavior (e.g., misplacement in the factory floor, repetition of tasks, etc.). This lack of definition complicates the deployment of such technology in the smart factory. Consequently, it is essential to define new decision strategies based, for instance, on artificial intelligence approaches.

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Funding

This work received financial support from the Fonds de recherche du Québec—Nature et technologies (FRQNT), under grant number 2020-CO-275043 (Ramy Meziane) and NSERC Discovery grant number RGPIN-2018-06329 (Martin Otis). This project uses the infrastructure obtained by the Ministère de l’Économie et de l’Innovation (MEI) du Quebec, John R. Evans Leaders Fund of the Canadian Foundation for Innovation (CFI) and the Infrastructure Operating Fund (FEI) under the project number 35395.

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Authors and Affiliations

  1. Laboratory of Automation and Robotic Interaction (LAR.I), Department of Applied Sciences, Université du Québec À Chicoutimi (UQAC), 555 Boulevard de L’Université, Chicoutimi, QC, G7H 2B1, Canada

    Gilde Vanel Tchane Djogdom, Martin J.-D. Otis & Ramy Meziane

  2. ITMI (Technological Institute of Industrial Maintenance), Sept-Iles College, 175 Rue de La Vérendrye, Sept-Îles, QC, G4R 5B7, Canada

    Gilde Vanel Tchane Djogdom & Ramy Meziane

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  1. Gilde Vanel Tchane Djogdom
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Contributions

Conceptualization, G.V.T.D. and M.O.; methodology, G.V.T.D, and M.O.; software, G.V.T.D; validation, G.V.T.D.; formal analysis, G.V.T.D.; investigation, G.V.T.D.; resources, M.O.; data curation, G.V.T.D.; writing—original draft preparation, G.V.T.D.; writing—review and editing, G.V.T.D., M.O.; visualization, G.V.T.D. and M.O.; supervision, M.O, R.M..; project administration, M.O.; funding acquisition, M.O. and R.M. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Gilde Vanel Tchane Djogdom.

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The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

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One sentence summary: This paper provides a comprehensive review of the current state of the literature on human and robots behavior when interacting in the factory floor.

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Tchane Djogdom, G.V., Otis, M.JD. & Meziane, R. A Theoretical Foundation for Erroneous Behavior in Human–Robot Interaction. J Intell Robot Syst 111, 23 (2025). https://doi.org/10.1007/s10846-025-02221-8

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  • Received: 15 March 2024

  • Accepted: 30 December 2024

  • Published: 04 February 2025

  • DOI: https://doi.org/10.1007/s10846-025-02221-8

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Keywords

  • Human–robot collaboration
  • Musculoskeletal disorder
  • Human behavior
  • Robot behavior
  • Industry
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