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http://dx.doi.org/10.1016/j.pr...
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An approach for task and action planning in Human–Robot Collaborative cells using AI

Authors: Evangelou, George; Dimitropoulos, Nikos; Michalos, George; Makris, Sotiris;

An approach for task and action planning in Human–Robot Collaborative cells using AI

Abstract

Abstract Human–Robot Collaborative (HRC) workcells aim to elevate the conventional industrial lines, by enabling seamless interaction between operators and machines. Shifting away from standard (mainly static) workcells, with operators and machines following strictly defined limits and schedules, the new era of manufacturing introduces versatile workspaces, shared between the manufacturing resources. The non-deterministic workflow of such workspaces raises concerns over planning of task and actions among the resources, as the workcell is now a dynamic environment. Following these demands, this study introduces a solution in scheduling and assignment of assembly tasks to both human and robot resources, aiming for effective emergence of alternative task-resource assignment sequences. The proposed framework is optimized to provide a human-centered approach on the assembly line and alleviate human operators from exhaustive or unsafe tasks, while accounting for environment changes, such as positioning of resources and parts. This tool was used in a use case from the industrial modules manufacturing sector. © 2020 The Authors, Published by Elsevier B.V. Peer review under the responsibility of the scientific committee of CIRP

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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