2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) 2020
DOI: 10.1109/aivr50618.2020.00017
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Mirrorlabs - creating accessible Digital Twins of robotic production environment with Mixed Reality

Abstract: How to visualize recorded production data in Virtual Reality? How to use state of the art Augmented Reality displays that can show robot data? This paper introduces an opensource ICT framework approach for combining Unity-based Mixed Reality applications with robotic production equipment using ROS Industrial. This publication gives details on the implementation and demonstrates the use as a data analysis tool in the context of scientific exchange within the area of Mixed Reality enabled human-robot co-producti… Show more

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Cited by 8 publications
(6 citation statements)
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“…In addition, A MR study on human behavior based on a Gazebo simulation is presented in [8]. The MirrorLabs project features the development of MR applications primarily for educational purposes [9]. Our work continues ideas sketched in [10] where we evaluated latency issues in distributed Gazebo usage scenarios.…”
Section: Simulation Components In Gazebomentioning
confidence: 89%
“…In addition, A MR study on human behavior based on a Gazebo simulation is presented in [8]. The MirrorLabs project features the development of MR applications primarily for educational purposes [9]. Our work continues ideas sketched in [10] where we evaluated latency issues in distributed Gazebo usage scenarios.…”
Section: Simulation Components In Gazebomentioning
confidence: 89%
“…The implementation of XR in manufacturing has been proven feasible, such as AR-based repair instructions ( Aschenbrenner et al, 2019 ) or displaying additional information within a factory ( Peake et al, 2016 ). While significant research was conducted for each topic, HRC and XR, cross-technology research is yet less prominent with very few exceptions ( Aschenbrenner et al, 2020 ). With the increasing popularity of using digital twins, XR can serve as a way to interface with a digital twin in the context of its intended physical environment.…”
Section: Related Workmentioning
confidence: 99%
“…Figure 10 suggests that there are less explored application domains, which can be investigated in the future, which include design and creative tasks, remote collaboration, and workspace applications. Manufacturing: joint assembly [21,30,43,138,289], grasping and manipulation [ [67,79,153,185,379], tutorial and simulation [52], welding [313] Maintenance: maintenance of robots [144,252], remote repair [31,48], performance monitoring [126,128], setup and calibration [352], debugging [373] Safety and Inspection: nuclear detection [15], drone monitoring [76,114,171,482], safety feature [44,66,104,379,385], ground monitoring [211,269,479] Automation and Teleoperation: interactive programming interface [118,131,136,177,270,288,324,496] Logistics: package delivery [265] Aerospace: surface exploration [54], teleoperated manipulator…”
Section: Application Domainsmentioning
confidence: 99%
“…Workshop [44,45,167,244,246,274,476], Theoretical Framework [200,374], Example Applications [30,47,66,84,124,127,142,145,159,174,195,197,209,210,243,245,252,265,269,315,325,341,342,366,368,382,385,418,425,431,476,481,483,496], Focus Groups [272,467], Early Demonstrations [24, 49, 53, 55, 82, 89, 96, 102, 104, 111, 115, 117, 136, 149, 162, 199, 216, 221, 239-241, 251, 255, 257, 270, 290, 305, 338, 346, 370, 375, 387, 400, 404, 408, 414, 436, 451, 479], Case Studies [65,105,…”
Section: Demonstration 97mentioning
confidence: 99%
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