The DOI matches its Crossref record.
ROBO-PARTNER: Seamless Human-Robot Cooperation for Intelligent, Flexible and Safe Operations in the Assembly Factories of the Future
Open accessAbstract
This paper presents the vision and architectures, proposed by the EU project ROBO-PARTNER. The project aspires to the integration of the latest industrial automation systems for assembly operations, in combination with human capabilities. Focus is given to combining robot strength, velocity, predictability, repeatability and precision with human intelligence and skills to get at a hybrid solution that would be involving the safe cooperation of operators with autonomous and adapting robotic systems. The main enablers are: the development of intuitive interfaces for safe human-robot cooperation (HRC), the use of safety strategies and equipment, allowing fenceless human robot assembly cells, the introduction of methods and tools for the efficient planning programming and execution of assembly operations, as well as the use of mobile robots, acting as assistants to human operators. The project also provides a more flexible integration and communication architecture by utilizing a distributed computing model along with ontology services. A pilot case from the automotive industry is used as the ground for developing and testing the aforementioned technologies.
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
Cited by
Design Considerations for Safe Human-robot Collaborative Workplaces
Michalos, G., Makris, S., Tsarouchi, P., Guasch, T., Kontovrakis, D., & Chryssolouris, G. (2015) · Procedia CIRP · doi:10.1016/j.procir.2015.08.014 · Cited by 314
Self-citationOyekan, J. O., Hutabarat, W., Tiwari, A., Grech, R., Aung, M. H., Mariani, M. P., López-Dávalos, L., Ricaud, T., Singh, S., & Dupuis, C. (2019) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2018.07.006 · Cited by 215
On Inferring Intentions in Shared Tasks for Industrial Collaborative Robots
Olivares-Alarcos, A., Foix, S., & Alenyà, G. (2019) · Electronics · doi:10.3390/electronics8111306 · Cited by 20
Metadata
- Authors
- Michalos, G., Makris, S., Spiliotopoulos, J., Misios, I., Tsarouchi, P., & Chryssolouris, G.
- Venue
- Procedia CIRP
- Publisher
- Elsevier BV
- Published
- 2014
- Volume
- 23
- Pages
- 71-76
- ISSN
- 2212-8271 (ISSN-L)
- OpenAlex
- W2059453052
- Cited by
- 175
- References
- 0
- FWCI
- 8.56
- Type
- journal article
- Language
- en
- Open access
- diamond
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: ROBO-PARTNER: Seamless Human-Robot Cooperation for Intelligent, Flexible and Safe Operations in the Assembly Factories of the Future. https://app.cochat.ai/papers/10.1016/j.procir.2014.10.079
- The paper
- Michalos, G., Makris, S., Spiliotopoulos, J., Misios, I., Tsarouchi, P., & Chryssolouris, G. (2014). ROBO-PARTNER: Seamless Human-Robot Cooperation for Intelligent, Flexible and Safe Operations in the Assembly Factories of the Future. Procedia CIRP. https://doi.org/10.1016/j.procir.2014.10.079
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.
