A Study on Human-Robot Collaboration based Hybrid Assembly System for Flexible Manufacturing

Lee, Eunseo; Barthelmey, André; Reckelkamm, Thorsten; Kang, Hyunchul; Son, Jiyeon

doi:10.1109/iecon.2019.8927154

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…Precision Manufacturing: The 5G and XAI-enabled manufacturing systems with human and machine participation in smart factories can increase productivity, organize production processes, automate factory operations, and increase flexibility [97,98]. Such systems consist of a gradient-boosting decision tree methodology to identify machine errors or any errors made by tools/soft-wares.…”

Section: Applications Of Xai For 5g and Beyondmentioning

confidence: 99%

A Survey of Explainable Artificial Intelligence for Smart Cities

et al. 2023

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The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans and envisioned the concept of smart cities using informed actions, enhanced user interpretations and explanations, and firm decision-making processes. The XAI systems can unbox the potential of black-box AI models and describe them explicitly. The study comprehensively surveys the current and future developments in XAI technologies for smart cities. It also highlights the societal, industrial, and technological trends that initiate the drive towards XAI for smart cities. It presents the key to enabling XAI technologies for smart cities in detail. The paper also discusses the concept of XAI for smart cities, various XAI technology use cases, challenges, applications, possible alternative solutions, and current and future research enhancements. Research projects and activities, including standardization efforts toward developing XAI for smart cities, are outlined in detail. The lessons learned from state-of-the-art research are summarized, and various technical challenges are discussed to shed new light on future research possibilities. The presented study on XAI for smart cities is a first-of-its-kind, rigorous, and detailed study to assist future researchers in implementing XAI-driven systems, architectures, and applications for smart cities.

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Section: Applications Of Xai For 5g and Beyondmentioning

confidence: 99%

A Survey of Explainable Artificial Intelligence for Smart Cities

et al. 2023

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“…Further, research in HRC primarily examines non-social or non-customer-facing service contexts such as military operations (Rathje et al. , 2013) or manufacturing plants (Lee et al. , 2019) in which the main beneficiaries are those operators who work directly with the robots.…”

Section: Human-robot Collaboration (Hrc) and Human-human Collaboratio...mentioning

confidence: 99%

“…Hence, research in HRC focuses on how the operator performs their job at different levels of automation, and it does not capture how the influence of FLEs' or FLRs' actions on the outcome generated by the other when working together. Further, research in HRC primarily examines non-social or non-customer-facing service contexts such as military operations (Rathje et al, 2013) or manufacturing plants (Lee et al, 2019) in which the main beneficiaries are those operators who work directly with the robots. Ultimately, the frameworks in HRC are not informative for businesses as they do not consider external stakeholders such as customers when examining and evaluating the effectiveness of an integrated FLR-FLE work structure.…”

Section: Human-robot Collaboration (Hrc) and Human-human Collaboratio...mentioning

confidence: 99%

Employee-(ro)bot collaboration in service: an interdependence perspective

Sajtos

Fernandez

2022

JOSM

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PurposeCollaboration between frontline employees (FLEs) and frontline robots (FLRs) is expected to play a vital role in service delivery in these increasingly disrupted times. Firms are facing the challenge of designing effective FLE-FLR collaborations to enhance customer experience. This paper develops a framework to explore the potential of FLE-FLR collaboration through the lens of interdependence in customer service experience and advances research that specifically focuses on employee-robot team development.Design/methodology/approachThis paper uses a conceptual approach rooted in the interdependence theory, team design, management, robotics and automation literature.FindingsThis paper proposes and defines the Frontline employee – Frontline robot interdependence (FLERI) concept based on three structural components of an interdependent relationship – joint goal, joint workflow and joint decision-making authority. It also provides propositions that outline the potential impact of FLERI on customer experience and employee performance, and outline several boundary conditions that could enhance or inhibit those effects.Practical implicationsManagerial insights into designing an employee-robot team in service delivery are provided.Originality/valueThis study is the first to propose a novel conceptual framework (FLERI) that focuses on the notion of human-robot collaboration in service settings.

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“…Lee et al in [15] highlight that, for more high production flexibility, it is necessary to have a close collaboration between humans and robots. The authors propose a production structure specifically designed for this collaboration, demonstrating its feasibility.…”

Section: Introductionmentioning

confidence: 99%

Investigating Collaborative Robotic Assembly: A Case Study of the FANUC CRX-10 iA/L in Industrial Automation at i-Labs

Bajrami,

Costa,

Palpacelli

et al. 2024

Eng

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This study examines the practicality and limitations of using a FANUC CRX-10 iA/l collaborative robot to assemble a product component, highlighting the trade-offs between increased robotization and reduced manual intervention. Through a detailed case study in the i-Labs laboratory, critical factors affecting precision assembly such as station layout, tooling design and robot programming are discussed. The findings highlight the benefits of robots for nonstop operation, freeing up human operators for higher value tasks despite longer cycle times. In addition, the paper advocates further research into reliable gripping of small components, a current challenge for robotics. The work contributes to open science by sharing partial results and methods that could inform future problem solving in robotic assembly.

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A Study on Human-Robot Collaboration based Hybrid Assembly System for Flexible Manufacturing

Cited by 5 publications

References 9 publications

A Survey of Explainable Artificial Intelligence for Smart Cities

A Survey of Explainable Artificial Intelligence for Smart Cities

Employee-(ro)bot collaboration in service: an interdependence perspective

Investigating Collaborative Robotic Assembly: A Case Study of the FANUC CRX-10 iA/L in Industrial Automation at i-Labs

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