The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications
Open accessAbstract
Abstract Easy-to-use collaborative robotics solutions, where human workers and robots share their skills, are entering the market, thus becoming the new frontier in industrial robotics. They allow to combine the advantages of robots, which enjoy high levels of accuracy, speed and repeatability, with the flexibility and cognitive skills of human workers. However, to achieve an efficient human–robot collaboration, several challenges need to be tackled. First, a safe interaction must be guaranteed to prevent harming humans having a direct contact with the moving robot. Additionally, to take full advantage of human skills, it is important that intuitive user interfaces are properly designed, so that human operators can easily program and interact with the robot. In this survey paper, an extensive review on human–robot collaboration in industrial environment is provided, with specific focus on issues related to physical and cognitive interaction. The commercially available solutions are also presented and the main industrial applications where collaborative robotic is advantageous are discussed, highlighting how collaborative solutions are intended to improve the efficiency of the system and which the open issue are.
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Cites
A survey of robot learning from demonstration
Argall, B. D., Chernova, S., Veloso, M., & Browning, B. (2009) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2008.10.024 · Cited by 3,227
A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction
Hancock, P. A., Billings, D. R., Schaefer, K. E., Chen, J. Y. C., de Visser, E. J., & Parasuraman, R. (2011) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720811417254 · Cited by 2,051 · cited 1×
“To reduce mental workload and increase reliability in robotic agents, human–robot interfaces based on the principles of humancentred design and cognitive engineering can be considered [84,85].”
BackgroundGetting a grip on tangible interaction: a framework on physical space and social interaction
Hornecker, E., & Buur, J. (2006) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1124772.1124838 · Cited by 1,100
Cobots: Robots for Collaboration With Human Operators
Colgate, J. E., Wannasuphoprasit, W., & Peshkin, M. A. (1996) · Dynamic Systems and Control · doi:10.1115/imece1996-0367 · Cited by 379
Human – robot interaction review and challenges on task planning and programming
Tsarouchi, P., Makris, S., & Chryssolouris, G. (2016) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2015.1130251 · Cited by 376
Cited by
Literature review of Industry 4.0 and related technologies
Oztemel, E., & Gursev, S. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-018-1433-8 · Cited by 2,143
Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
Kim, S. S. Y., Watkins, E. A., Russakovsky, O., Fong, R., & Monroy-Hernández, A. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581001 · Cited by 233
Cooperative AI: machines must learn to find common ground
Dafoe, A., Bachrach, Y., Hadfield, G., Horvitz, E., Larson, K., & Graepel, T. (2021) · Nature · doi:10.1038/d41586-021-01170-0 · Cited by 232
Brainwave-driven human-robot collaboration in construction
Liu, Y., Habibnezhad, M., & Jebelli, H. (2021) · Automation in Construction · doi:10.1016/j.autcon.2021.103556 · Cited by 187
Robotics and automation in the city: a research agenda
Macrorie, R., Marvin, S., & While, A. (2021) · Urban Geography · doi:10.1080/02723638.2019.1698868 · Cited by 177
Metadata
- Authors
- Villani, V., Pini, F., Leali, F., & Secchi, C.
- Venue
- Mechatronics
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 55
- Pages
- 248-266
- ISSN
- 0957-4158 (ISSN-L)
- OpenAlex
- W2789905221
- Cited by
- 1,237
- References
- 5
- FWCI
- 53.83
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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