2021
DOI: 10.1007/s10514-021-10020-x
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Autonomous assembly planning of demonstrated skills with reinforcement learning in simulation

Abstract: with details of the nature of the infringement. We will investigate the claim and if justified, we will take the appropriate steps.

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Cited by 6 publications
(8 citation statements)
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References 23 publications
(24 reference statements)
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“…Clone DTs, which extensively collected data from the PT, represent a trendy application for human‐robot systems. Therefore, collecting near‐real‐time sensorial data from humans, robots, and their co‐environment [47, 56, 61]. The scalable data exchange that characterises Clone DTs allows for incorporating intelligent features using AI and ML for planning, optimising, and automating the interaction between humans and robots [47].…”
Section: Discussionmentioning
confidence: 99%
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“…Clone DTs, which extensively collected data from the PT, represent a trendy application for human‐robot systems. Therefore, collecting near‐real‐time sensorial data from humans, robots, and their co‐environment [47, 56, 61]. The scalable data exchange that characterises Clone DTs allows for incorporating intelligent features using AI and ML for planning, optimising, and automating the interaction between humans and robots [47].…”
Section: Discussionmentioning
confidence: 99%
“…Various articles selected Unity as their development platform since it easily allows the integration of VR and AR through their MixedReality Toolkit [55]. Moreover, Unity seems to have a pragmatic advantage over other tools as it is compatible with ROS [21, 33, 57, 61], MATLAB [33], and Computer Aided Design (CAD) tools [2, 44].…”
Section: Content Analysismentioning
confidence: 99%
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