The effectiveness of virtual environments in developing collaborative strategies between industrial robots and humans
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Other articles introduce digital twins for maintenance purposes.
“Other articles introduce the DT for 'Maintenance' purposes [48,54-59]”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [56]
The Abstract (p. 2) says the paper introduces a virtual-reality digital twin to study human reactions to robot motions and inform safe human–robot collaboration. It supports the digital-twin part of the citation, but not the attributed maintenance purpose; the Introduction (p. 4) likewise describes its purpose as developing collaboration strategies. (LLM, conf=0.87)
Experimental — accuracy not yet measuredSome reviewed papers mainly belong to the first service group but also offer services of the second group, and vice versa.
“Also, there are papers that mainly belong to the first group but also offer services of the second group ([39,40,50,70]), and vice versa ([56,61,62]).”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [56]
The Introduction (p. 4) and Conclusion (p. 21) describe a virtual environment used both to represent a manufacturing cell and to test human–robot collaboration strategies. That supports citing this paper as an example with more than one function, but our copy does not define the citing document’s first and second service groups or establish which group is primary. (LLM, conf=0.72)
Experimental — accuracy not yet measuredThe reviewed articles can be divided into two categories by cloud usage: those that effectively use a cloud and build a cloud-based DT application, and those that construct the DT application in a virtual space with software highlighting the possibility to build it also in a cloud-based environment.
“For this aspect, the articles considered can be divided into two different categories: (i) those that effectively use a cloud and build a cloud-based DT application, marked in the table as [27,34,37,43,47,48,54,56,62,67,74-76], (ii) those that construct the DT application in a virtual space with the use of a software highlighting the possibility to build it also in a cloud”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [56]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredIn the reviewed articles, DT was used for maintenance purposes, including reconditioning of old machines.
“- 5) Other articles introduce the DT for 'Maintenance' purposes [48,54-59], such as reconditioning of old machines [53];”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [56]
The Introduction (p. 4) says the paper uses a digital twin to study human–robot collaboration, and the virtual-environment description (p. 5) describes the robot-arm twin. Searches for maintenance, reconditioning, refurbishment, and retrofitting found no passage saying the twin was used to recondition old machines—the point attached to this citation. (LLM, conf=0.75)
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References 29 · Cited by 215
Research works printed but not linked: 22
- [1][1]. Michalos, G., Makris, S., Tsarouchi, P., Guasch, T., Kontovrakis, D. and Chryssolouris, G., 2015. Design considerations for safe human-robot collaborative workplaces. Procedia CIrP, 37, pp.248-253. -
- [2][2]. Heyer, C., 2010, October. Human-robot interaction and future industrial robotics applications. In 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 4749-4754). IEEE. -
- [6][6]. Gleeson, B., MacLean, K., Haddadi, A., Croft, E. and Alcazar, J., 2013, March. Gestures for industry: intuitive human-robot communication from human observation. In Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction (pp. 349-356). IEEE Press. -
- [7][7]. Michalos, G., Makris, S., Spiliotopoulos, J., Misios, I., Tsarouchi, P. and Chryssolouris, G., 2014. ROBO-PARTNER: Seamless Human-Robot cooperation for intelligent, flexible and safe operations in the assembly factories of the future. Procedia CIRP, 23, pp.71-76. -
- [9][9]. Bannat, A., Gast, J., Rehrl, T., Rösel, W., Rigoll, G. and Wallhoff, F., 2009, July. A multimodal human-robot-interaction scenario: Working together with an industrial robot. In International Conference on Human-Computer Interaction (pp. 303-311). Springer, Berlin, Heidelberg. -
- [10][10]. Tsarouchi, P., Matthaiakis, A.S., Makris, S. and Chryssolouris, G., 2017. On a humanrobot collaboration in an assembly cell. International Journal of Computer Integrated Manufacturing, 30(6), pp.580-589. -
- [11][11]. Michalos, G., Karagiannis, P., Makris, S., Tokçalar, Ö. and Chryssolouris, G., 2016. Augmented reality (AR) applications for supporting human-robot interactive cooperation. Procedia CIRP, 41, pp.370-375. -
- [12][12]. Tahriri, F., Mousavi, M., Yap, H.J., Siti Zawiah, M.D. and Taha, Z., 2015. Optimizing the robot arm movement time using virtual reality robotic teaching system. International Journal of Simulation Modelling, 14(1), pp.28-38. -
- [13][13]. Crespo, R., García, R. and Quiroz, S., 2015. Virtual reality application for simulation and off-line programming of the mitsubishi movemaster rv-m1 robot integrated with the oculus rift to improve students training. Procedia Computer Science, 75, pp.107-112. -
- [14][14]. Rao, Y., Xu, B.L., Jing, T., Zhang, F. and Zhao, X.Y., 2017. The Current Status and Future Perspectives of Virtual Maintenance. Procedia Computer Science, 107, pp.58-63. -
- [15][15]. Ren, L., Zhang, L., Wang, L., Tao, F. and Chai, X., 2017. Cloud manufacturing: key characteristics and applications. International Journal of Computer Integrated Manufacturing, 30(6), pp.501-515. -
- [18][18]. Matsas, E. and Vosniakos, G.C., 2015. Design of a virtual reality training system for human-robot collaboration in manufacturing tasks. International Journal on Interactive Design and Manufacturing. -
- [19][19]. Phoon, S.Y., Yap, H.J., Taha, Z., Pai, Y.S., Phoon, S.Y., Yap, H.J. and Taha, Z., 2017. Interactive solution approach for loop layout problem using virtual reality technology. The International Journal of Advanced Manufacturing Technology, 89(5-8), pp.2375-2385. -
- [21][21]. Hutabarat, W., J Oyekan, Turner, C., Tiwari, Al, and Prajapat, N., 2016. Proceedings of the 2016 Winter Simulation Conference, Washington DC, USA. -
- [22][22]. Monica, Z., 2015. Optimization of the production process using virtual model of a workspace. In IOP Conference Series: Materials Science and Engineering (Vol. 95, No. 1, p. 012102). IOP Publishing. -
- [24][24]. Kuts, V., Modoni, G.E., Terkaj, W., Tähemaa, T., Sacco, M. and Otto, T., 2017, June. Exploiting Factory Telemetry to Support Virtual Reality Simulation in Robotics Cell. In - International Conference on Augmented Reality, Virtual Reality and Computer Graphics (pp. 212-221). Springer, Cham.
- [27][27]. Cho, C.N., Kim, J.H., Lee, S.D. and Song, J.B., 2012. Collision detection and reaction on 7 DOF service robot arm using residual observer. Journal of mechanical science and technology, 26(4), pp.1197-1203.
- [28][28]. Tan, J.T.C., Duan, F., Kato, R. and Arai, T., 2010. Safety strategy for human -robot collaboration: Design and development in cellular manufacturing. Advanced Robotics, 24(56), pp.839-860.
- [30][30]. Kulić, D. & Croft, E., 2007. Pre -collision safety strategies for human-robot interaction. Autonomous Robots, 22(2), pp.149 -164.
- [33][33]. Maurice, P., Padois, V., Measson, Y. and Bidaud, P., 2016. Experimental assessment of the quality of ergonomic indicators for dynamic systems computed using a digital human model. International Journal of Human Factors Modelling and Simulation, 5(3), pp.190-209.
- [35][35]. Ogorodnikova, O., 2009. How safe the human-robot coexistence is? Theoretical presentation. Acta Polytechnica Hungarica, 6(4), pp.51-74.
- [36][36]. Luo, J., Ying, K. and Bai, J., 2005. Savitzky -Golay smoothing and differentiation filter - for even number data. Signal Processing, 85(7), pp.1429-1434.
- Authors
- Oyekan, J. O., Hutabarat, W., Tiwari, A., Grech, R., Aung, M. H., Mariani, M. P., López-Dávalos, L., Ricaud, T., Singh, S., & Dupuis, C.
- Affiliations
- Manufacturing Technology Centre (United Kingdom) (GB)
- University of Sheffield (GB)
- Cranfield University (GB)
- Corresponding author
- Oyekan, John O.
- Venue
- Robotics and Computer-Integrated Manufacturing
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 55
- Pages
- 41-54
- ISSN
- 0736-5845 (ISSN-L)
- OpenAlex
- W2884767975
- Cited by
- 215
- References
- 29
- Citations by year
- 2026: 15 · 2025: 29 · 2024: 27 · 2023: 39 · 2022: 40 · 2021: 30 · 2020: 18 · 2019: 16 · 2018: 1
- FWCI
- 9.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Robotics and Computer-Integrated Manufacturing (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- human-robot collaboration, industrial robots, virtual reality, digital twin, human-robot interaction safety, collaborative strategies, factory of the future, safety regulations
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