Challenges for Industrial Robot Applications in Food Manufacturing
Open accessAbstract
The global food industry is facing many challenges due to the impact of climate change, ever-changing demands by consumers, and increasing legislative pressures by the government, which have resulted in several drivers for changes. Current large-scale rigid manufacturing systems are increasingly seen as incapable of supporting the underlining requirements for implementation of such changes. In this context, one of the key requirements is the need for improved flexibility and reconfigurability of production facilities, often provided by adoption of Industrial Robots in other manufacturing sectors. However, despite their recent technological advancements, in particular the advent of the 4th industrial revolution (Industry 4.0), and significant reduction in overall implementation cost over the last two decades, the uptake of industrial robots in food processing has been slow. This paper explores the application of industrial robots in food manufacturing, the benefits of their use and the challenges currently hindering their uptake.
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The food production sector has been relatively slowly robotised compared to other industries.
“The food production sector has been relatively slowly robotised compared to other industries [97].”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [97]
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Food consumption trends and drivers
Kearney, J. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2010.0149 · Cited by 1,987 · see citing works
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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
Fish Detection and Classification for Automatic Sorting System with an Optimized YOLO Algorithm
Kuswantori, A., Suesut, T., Tangsrirat, W., Schleining, G., & Nunak, N. (2023) · Applied Sciences · doi:10.3390/app13063812 · Cited by 48 · see citing works
- Authors
- Bader, F., & Rahimifard, S.
- Affiliations
- Loughborough University (GB)
- Venue
- Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control
- Publisher
- ACM
- Published
- 2018-09-21
- Pages
- 1-8
- OpenAlex
- W2902530938
- Cited by
- 65
- References
- 1
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 15 · 2023: 13 · 2022: 12 · 2021: 6 · 2020: 6 · 2019: 1
- FWCI
- 5.09
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Symposium on Computer Science and Intelligent Control (ISCSIC) (publishedVersion, cc-by)
- Loughborough University Institutional Repository (Loughborough University) (submittedVersion, cc-by)
- Loughborough University Research Repository (Loughborough University) (submittedVersion, cc-by)
- Funders
- Engineering and Physical Sciences Research Council (EP/K030957/1)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Advanced Manufacturing and Logistics Optimization
- Keywords
- industrial robots, food manufacturing, food processing, production flexibility, reconfigurable manufacturing systems, Industry 4.0, consumer demand change, food safety regulation
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