Automation and robotics in the context of Industry 4.0: The shift to collaborative robots
Open accessAbstract
This paper describes the role and place of collaborative robotics of industrial automation in the context of rapid industrial development. Collaboration of humans and robots in close proximity in a single work space is a stimulating feature of Industry 4.0. Urgent research issues in the field of industrial robotics include problems of developing safer robots in human-machine interaction systems. Due to the close collaboration between humans and robots, many of the problems of industrial robotics are associated not only with technical issues, but also with social aspects. Optimization and automation of production through the introduction of robotic solutions is widely used. In future it will become the basis of all business processes.
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Next-generation robotics uses artificial intelligence to collaboratively perform tasks and is suitable for uncontrolled/unpredictable environments.
“Contrary to typical industrial robots, next-generation robotics uses artificial intelligence (AI) to collaboratively perform tasks and is suitable for uncontrolled/unpredictable environments [15].”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [15]
The Introduction and §2 describe a new generation of robots that work closely with humans and adapt their behaviour when a person enters their workspace. Section 2 also calls artificial intelligence a main element of the Industry 4.0 paradigm. The paper does not say that AI is what enables the collaboration, or establish that these robots are suitable for uncontrolled or unpredictable environments. (LLM, conf=0.86)
Experimental — accuracy not yet measuredDue to advances in AI, sensing technologies, and computer vision, collaborative industrial robots have become significantly smarter, showing the potential of reliable and secure cooperation and increasing the productivity and efficiency of the involved processes.
“Moreover, due to favourable conditions (advances in AI, sensing technologies, and computer vision), collaborative industrial robots have become significantly smarter, showing the potential of reliable and secure cooperation, and increasing the productivity and efficiency of the involved processes [15].”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [15]
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Research works printed but not linked: 6
- Liu H, Fang T, Zhou T and Wang L. 2018 Towards Robust Human-Robot Collaborative Manufacturing: Multimodal Fusion IEEE Access 6 74762-771
- Galin R 2018 Virtual polygon for effective interaction of robots in a multi-agent robotic system News of Kabardino-Balkar scientific center of RAS 6 86 chapter II pp 108-13
- Robla-Gomez S et al 2017 Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments IEEE Access 5 26754-73
- Chowdhury M and Maier M 2017 Collaborative Computing for Advanced Tactile Internet Human-to-Robot (H2R) Communications in Integrated FiWi Multirobot Infrastructures IEEE Internet of Things Journal 4(6) 2142-58
- Batth R, Nayyar A and Nagpal A 2018 Internet of Robotic Things: Driving Intelligent Robotics of Future -Concept, Architecture, Applications and Technologies 4th International Conference on Computing Sciences (ICCS) (Jalandhar) pp 151-60
- Khalid A, Kirisci P, Ghrairi Z, Thoben K-D and Pannek J 2017 Towards implementing safety and security concepts for human-robot collaboration in the context of Industry 4.0 39th International MATADOR Conference on Advanced Manufacturing (Manchester, UK) pp 0-7
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Advanced Applications of Industrial Robotics: New Trends and Possibilities
Dzedzickis, A., Subačiūtė-Žemaitienė, J., Šutinys, E., Samukaitė-Bubnienė, U., & Bučinskas, V. (2021) · Applied Sciences · doi:10.3390/app12010135 · Cited by 228 · see citing works
Digital twins for Industry 4.0 in the 6G era
Han, B., Habibi, M. A., Richerzhagen, B., Schindhelm, K., Zeiger, F., Lamberti, F., Pratticò, F. G., Upadhya, K., Korovesis, C., Belikaidis, I.-P., et al. (2023) · IEEE Open Journal of Vehicular Technology · doi:10.1109/ojvt.2023.3325382 · Cited by 54 · see citing works
- Authors
- Galin, R., & Meshcheryakov, R.
- Affiliations
- V. A. Trapeznikov Institute of Control Sciences (RU)
- Corresponding author
- Galin, Rinat
- Venue
- IOP Conference Series: Materials Science and Engineering
- Publisher
- IOP Publishing
- Published
- 2019-05-01
- Volume
- 537
- Issue
- 3
- Pages
- 032073
- ISSN
- 1757-8981 (ISSN-L)
- 1757-899X
- OpenAlex
- W2950091361
- Cited by
- 98
- References
- 0
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 15 · 2023: 21 · 2022: 15 · 2021: 12 · 2020: 5 · 2019: 1
- FWCI
- 12.60
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- IOP Conference Series Materials Science and Engineering (publishedVersion, cc-by)
- Funders
- Russian Foundation for Basic Research
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Keywords
- collaborative robots, Industry 4.0, industrial automation, human-robot collaboration, human-machine interaction, robot safety, production optimization
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