Cited by 38Digital Transformation in IndustrySimulation and Modeling ApplicationsFlexible and Reconfigurable Manufacturing Systems

The DOI matches its Crossref record; the references it cites are not checked yet.

Exploiting Factory Telemetry to Support Virtual Reality Simulation in Robotics Cell

Kuts, Vladimir, Modoni, Gianfranco E., Terkaj, Walter, Tähemaa, Toivo, Sacco, Marco, Otto, Tauno·2017·Lecture Notes in Computer Science

Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-319-60922-5_16

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

The citation lists haven’t been fetched yet

References 13 · Cited by 38

Research works printed but not linked: 12

  1. Schroeder, G.N., Steinmetz, C., Pereira, C.E., Espindola, D.B.: Digital twin data modeling with automationML and a communication methodology for data exchange. IFAC-PapersOnLine 49(30), 12–17 (2016). ISSN 2405-8963. http://dx.doi.org/10.1016/j.ifacol.2016.11.115 · DOI
  2. Terkaj, W., Tolio, T., Urgo, M.: A virtual factory approach for in situ simulation to support production and maintenance planning. CIRP Ann.- Manuf. Technol. 64(1), 451–454 (2015) · DOI
  3. Kádár, B., Lengyel, A., Monostori, L., Suginishi, Y., Pfeiffer, A., Nonaka, Y.: Enhanced control of complex production structures by tight coupling of the digital and the physical worlds. CIRP Ann. – Manuf. Technol. 59(1), 437–440 (2010) · DOI
  4. Brettel, M., Friederichsen, N., Keller, M., Rosenberg, M.: How virtualization, decentralization and network building change the manufacturing landscape an industry 4.0 perspective. Int. J. Mech. Ind. Sci. Eng. 8(1), 37–44 (2014)
  5. Modoni, G.E., Sacco, M., Terkaj, W.: A telemetry-driven approach to simulate data-intensive manufacturing processes. Procedia CIRP 57, 281–285 (2016) · DOI
  6. Cherubini, A., Passama, R., Crosnier, A., Lasnier, A., Fraisse, P.: Collaborative manufacturing with physical human–robot interaction. Robot. Comput.-Integr. Manuf. 40, 1–13 (2016) · DOI
  7. Modoni, G.E., Doukas, M., Terkaj, W., Sacco, M., Mourtzis, D.: Enhancing factory data integration through the development of an ontology: from the reference models reuse to the semantic conversion of the legacy models. Int. J. Comput. Integr. Manuf. (2016). Taylor & Francis · DOI
  8. Capozzi, F., Lorizzo, V., Modoni, G., Sacco, M.: Lightweight augmented reality tools for lean procedures in future factories. In: De Paolis, L.T., Mongelli, A. (eds.) AVR 2014. LNCS, vol. 8853, pp. 232–246. Springer, Cham (2014). doi: 10.1007/978-3-319-13969-2_18 · DOI
  9. Forouzan, B.A.: TCP/IP Protocol Suite. McGraw-Hill, Inc., New York City (2002)
  10. Modoni, G.E., Veniero, M., Sacco, M.: Semantic knowledge management and integration services for AAL. In: Cavallo, F., Marletta, V., Monteriù, A., Siciliano, P. (eds.) ForItAAL 2016. LNEE, vol. 426, pp. 287–299. Springer, Cham (2017). doi: 10.1007/978-3-319-54283-6_22 · DOI
  11. Mahnke, W., Leitner, S.H., Damm, M.: OPC Unified Architecture. Springer Science & Business Media, Heidelberg (2009) · DOI
  12. Kuts, V., Tähemaa, T., Otto, T., Sarkans, M., Lend, H.: Robot manipulator usage for measurement in production areas. J. Mach. Eng. 16(1), 57–67 (2016)

Metadata

Authors
Kuts, V., Modoni, G. E., Terkaj, W., Tähemaa, T., Sacco, M., & Otto, T.
Affiliations
  • Tallinn University of Technology (EE)
  • National Research Council (IT)
Corresponding author
Kuts, Vladimir
Venue
Lecture Notes in Computer Science
Published
2017
Pages
212-221
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2623535140
Cited by
38
References
13
Citations by year
2026: 1 · 2025: 4 · 2024: 2 · 2023: 4 · 2022: 6 · 2021: 5 · 2020: 4 · 2019: 6 · 2018: 4 · 2017: 2
FWCI
6.43
Type
conference paper
Language
en
Open access
closed
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Engineering › Control and Systems Engineering › Simulation and Modeling Applications
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
Keywords
digital twin, virtual reality simulation, robotic cell, manufacturing execution system, human-robot interaction safety, data-driven simulation, shop floor monitoring

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: Exploiting Factory Telemetry to Support Virtual Reality Simulation in Robotics Cell. https://app.cochat.ai/papers/10.1007/978-3-319-60922-5_16
The paper
Kuts, V., Modoni, G. E., Terkaj, W., Tähemaa, T., Sacco, M., & Otto, T. (2017). Exploiting Factory Telemetry to Support Virtual Reality Simulation in Robotics Cell. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-60922-5_16