Design of a collaborative architecture for human-robot assembly tasks

Makrini, Ilias El; Merckaert, Kelly; Lefeber, Dirk; Vanderborght, Bram

doi:10.1109/iros.2017.8205971

Cited by 51 publications

(34 citation statements)

References 11 publications

(12 reference statements)

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“…In our view, these works can be achieved without any step change in existing technology or algorithms; rather, it requires more testing time. To increase safety, productivity, and task performance, researchers will need to improve planners, [39,53], environment and task understanding [28,40,54,55], operator intention understanding [38], and ergonomic cell setups [37,56]. To improve HRI systems, common future work focuses on increasing the robots' and operators' awareness of the task and environment by object recognition [44] and integrating multi-modal sensing in an intuitive manner for the operator [3,32,36].…”

Section: Trends In the Literaturementioning

confidence: 99%

Human–Robot Collaboration in Manufacturing Applications: A Review

et al. 2019

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This paper provides an overview of collaborative robotics towards manufacturing applications. Over the last decade, the market has seen the introduction of a new category of robots—collaborative robots (or “cobots”)—designed to physically interact with humans in a shared environment, without the typical barriers or protective cages used in traditional robotics systems. Their potential is undisputed, especially regarding their flexible ability to make simple, quick, and cheap layout changes; however, it is necessary to have adequate knowledge of their correct uses and characteristics to obtain the advantages of this form of robotics, which can be a barrier for industry uptake. The paper starts with an introduction of human–robot collaboration, presenting the related standards and modes of operation. An extensive literature review of works published in this area is undertaken, with particular attention to the main industrial cases of application. The paper concludes with an analysis of the future trends in human–robot collaboration as determined by the authors.

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Section: Trends In the Literaturementioning

confidence: 99%

Human–Robot Collaboration in Manufacturing Applications: A Review

et al. 2019

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“…Thus, a centralized automated inspection would shift to an in-process, ubiquitous automated inspection carried out with a smart assistance system. These systems could combine, for example, wearable augmented reality with automated visual inspection [50,51] or use collaborative robots for automated visual inspection [52,53].…”

Section: Literature Review 21 Some Considerations About Manual Assementioning

confidence: 99%

Classification and Quantification of Human Error in Manufacturing: A Case Study in Complex Manual Assembly

2021

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Manual assembly operations are sensitive to human errors that can diminish the quality of final products. The paper shows an application of human reliability analysis in a realistic manufacturing context to identify where and why manual assembly errors occur. The techniques SHERPA and HEART were used to perform the analysis of human reliability. Three critical tasks were selected for analysis based on quality records: (1) installation of three types of brackets using fasteners, (2) fixation of a data cable to the assembly structure using cushioned loop clamps and (3) installation of cap covers to protect inlets. The identified error modes with SHERPA were: 36 action errors, nine selection errors, eight information retrieval errors and six checking errors. According to HEART, the highest human error probabilities were associated with assembly parts sensitive to geometry-related errors (brackets and cushioned loop clamps). The study showed that perceptually engaging assembly instructions seem to offer the highest potential for error reduction and performance improvement. Other identified areas of action were the improvement of the inspection process and workers’ provision with better tracking and better feedback. Implementation of assembly guidance systems could potentially benefit worker’s performance and decrease assembly errors.

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“…Dergelijke collaboratieve robots worden ook wel 'cobots' genoemd, zijn relatief goedkoop en makkelijk programmeerbaar, en kunnen op de werkplek van de operator zelf worden geïntegreerd, in tegenstelling tot traditionele robots die wegens veiligheidsredenen afgesloten in een beschermende veiligheidskooi actief zijn (Villani, Pini, Leali, & Secchi, 2018). Op die manier worden ze gedefinieerd als robots die (letterlijk en figuurlijk) dichter bij de operator komen en deze in een coöperatieve omgeving helpen met erg complexe taken die niet geautomatiseerd kunnen worden (Ajoudani et al, 2018;Makrini, Merckaert, Lefeber, & Vanderborght, 2017). De flexibiliteit, handigheid en het probleemoplossend vermogen van de menselijke operator wordt zo gecombineerd met de kracht, uithouding en precisie van robots (Bauer, Ollherr, & Buss, 2008).…”

Section: Cobot-technologieunclassified