The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Digital twins for collaborative robots: A case study in human-robot interaction
Open accessAbstract
Abstract Human-robot collaboration (HRC) can expand the level of automation in areas that have conventionally been difficult to automate such as assembly. However, the need of adaptability and the dynamics of human presence are keeping the full potential of human-robot collaborative systems difficult to achieve. This paper explores the opportunities of using a digital twin to address the complexity of collaborative production systems through an industrial case and a demonstrator. A digital twin, as a virtual counterpart of a physical human-robot assembly system, is built as a ‘front-runner’ for validation and control throughout its design, build and operation. The forms of digital twins along system's life cycle, its building blocks and the potential advantages are presented and discussed. Recommendations for future research and practice in the use of digital twins in the field of cobotics are given.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems
Grieves, M., & Vickers, J. (2017) · Transdisciplinary Perspectives on Complex Systems · doi:10.1007/978-3-319-38756-7_4 · Cited by 3,727 · cited 3×
“Complex systems have a property of surprise, as in ‘I didn’t see that coming’, and such a surprise can even be fatal (Grieves & Vickers 2017a).”
BackgroundDigital twin-driven product design, manufacturing and service with big data
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920
DIGITAL TWIN: MANUFACTURING EXCELLENCE THROUGH VIRTUAL FACTORY REPLICATION
Prof. RajratnaKharat*1, V. B. (2018) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1493929 · Cited by 1,753
Lu, Y., Liu, C., Wang, K. I.-K., Huang, H., & Xu, X. (2020) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2019.101837 · Cited by 1,624
Enabling technologies and tools for digital twin
Qi, Q., Tao, F., Hu, T., Anwer, N., Liu, A., Wei, Y., Wang, L., & Nee, A. Y. C. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2019.10.001 · Cited by 1,579
About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474
The International Journal of Production Research
Dolgui, A. B. (2013) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 1,462
Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing
Tao, F., & Zhang, M. (2017) · IEEE Access · doi:10.1109/access.2017.2756069 · Cited by 1,397
Shaping the digital twin for design and production engineering
Schleich, B., Anwer, N., Mathieu, L., & Wartzack, S. (2017) · CIRP Annals · doi:10.1016/j.cirp.2017.04.040 · Cited by 1,305
Reengineering aircraft structural life prediction using a digital twin
Tuegel, E. J., Ingraffea, A. R., Eason, T. G., & Spottswood, S. M. (2011) · International Journal of Aerospace Engineering · doi:10.1155/2011/154798 · Cited by 1,119
Cited by
Digital twins-based smart manufacturing system design in Industry 4.0: A review
Leng, J., Wang, D., Shen, W., Li, X., Liu, Q., & Chen, X. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2021.05.011 · Cited by 766
A survey on AI-driven digital twins in Industry 4.0: smart manufacturing and advanced robotics
Huang, Z., Shen, Y., Li, J., Fey, M., & Brecher, C. (2021) · Sensors · doi:10.3390/s21196340 · Cited by 418
Applications of Digital Twin across Industries: A Review
Singh, M., Srivastava, R., Fuenmayor, E., Kuts, V., Qiao, Y., Murray, N., & Devine, D. (2022) · Applied Sciences · doi:10.3390/app12115727 · Cited by 355
A framework for data-driven digital twins of smart manufacturing systems
Friederich, J., Francis, D. P., Lazarova-Molnar, S., & Mohamed, N. (2022) · Computers in Industry · doi:10.1016/j.compind.2021.103586 · Cited by 323
Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives
Li, S., Zheng, P., Liu, S., Wang, Z., Wang, X. V., Zheng, L., & Wang, L. (2023) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2022.102510 · Cited by 265
Metadata
- Authors
- Malik, A. A., & Brem, A.
- Venue
- Robotics and Computer-Integrated Manufacturing
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 68
- Pages
- 102092
- ISSN
- 0736-5845 (ISSN-L)
- OpenAlex
- W3034913946
- Cited by
- 284
- References
- 49
- FWCI
- 20.94
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Digital twins for collaborative robots: A case study in human-robot interaction. https://app.cochat.ai/papers/10.1016/j.rcim.2020.102092
- The paper
- Malik, A. A., & Brem, A. (2021). Digital twins for collaborative robots: A case study in human-robot interaction. Robotics and Computer-Integrated Manufacturing. https://doi.org/10.1016/j.rcim.2020.102092
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
