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Robots may transform the way we produce and prepare food

Robotics technologies are finding their way into the food production chain, from agriculture robots ‘working’ on farms, to 3D food printers generating customized dishes in the kitchen. In this Viewpoint, two roboticists, Hod Lipson and Salah Sukkarieh, discuss the possible roles of robotics in shaping the future of food, highlighting how robots may be able to produce more, healthier and sustainable foods with fewer resources and a lower carbon footprint.

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References

  1. Gonzalez-de-Santos, P. et al. Field robots for intelligent farms — inhering features from industry. Agronomy 10, 1638 (2020).

    Article  Google Scholar 

  2. Bender, A., Whelan, B. & Sukkarieh, S. A high-resolution, multimodal data set for agricultural robotics: a ladybird’s-eye view of Brassica. J. Field Robot. 37, 73–96 (2020).

    Article  Google Scholar 

  3. Periard, D., Noy, S., Maor, S., Evan, M. & Hod, L. Printing food. In Proc. 2007 International Solid Freeform Fabrication Symposium 564–574 (Laboratory for Freeform Fabrication and University of Texas at Austin, 2007).

  4. Blutinger, J. D. et al. The future of software-controlled cooking. npj Sci. Food 7, 6 (2023).

    Article  Google Scholar 

  5. Lipton, J. I. et al. Additive manufacturing for the food industry. Trends Food Sci. Technol. 43, 114–123 (2015).

    Article  Google Scholar 

  6. Blutinger, J. D. et al. Precision cooking for printed foods via multiwavelength lasers. npj Sci. Food 5, 24 (2021).

    Article  Google Scholar 

  7. Wallace, N. D., Kong, H., Hill, A. J. & Sukkarieh, S. Experimental validation of structured receding horizon estimation and control for mobile ground robot slip compensation. In Field and Service Robotics, Results of the 12th International Conference (eds Ishigami, G. & Yoshida, K.) 411–426 (Springer, 2021).

  8. Eiffert, S., Wallace, N. D., Kong, H., Pirmarzdashti, N. & Sukkarieh, S. A hierarchical framework for long-term and robust deployment of field ground robots in large-scale farming. In Proc. 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) 948–954 (IEEE, 2020).

  9. Ramachandraiah, K. Potential development of sustainable 3D-printed meat analogues: a review. Sustainability 13, 938 (2021).

    Article  Google Scholar 

  10. Bedoya, M. G. et al. Promising perspectives on novel protein food sources combining artificial intelligence and 3D food printing for food industry. Trends Food Sci. Technol. 128, 38–52 (2022).

    Article  Google Scholar 

  11. Su, D. et al. Data augmentation for deep learning based semantic segmentation and crop–weed classification in agricultural robotics. Comput. Electron. Agric. 190, 106418 (2021).

    Article  Google Scholar 

  12. Brown, J. & Sukkarieh, S. Design and evaluation of a modular robotic plum harvesting system utilizing soft components. J. Field Robot. 38, 289–306 (2021).

    Article  Google Scholar 

  13. Su, D. et al. Real time detection of inter-row ryegrass in wheat farms using deep learning. Biosyst. Eng. 204, 198–211 (2021).

    Article  Google Scholar 

  14. Baiano, A. 3D printed foods: a comprehensive review on technologies, nutritional value, safety, consumer attitude, regulatory framework, and economic and sustainability issues. Food Rev. Int. 38, 986–1016 (2022).

    Article  Google Scholar 

  15. Pérez, B. et al. Impact of macronutrients printability and 3D-printer parameters on 3D-food printing: a review. Food Chem. 287, 249–257 (2019).

    Article  Google Scholar 

  16. Liu, Z. et al. 3D printing: printing precision and application in food sector. Trends Food Sci. Technol. 69, 83–94 (2017).

    Article  Google Scholar 

  17. Sparrow, R. & Howard, M. Robots in agriculture: prospects, impacts, ethics, and policy. Precis. Agricult. 22, 818–833 (2021).

    Article  Google Scholar 

  18. Martin, T. et al. Robots and transformations of work in farm: a systematic review of the literature and a research agenda. Agron. Sustain. Dev. 42, 66 (2022).

    Article  Google Scholar 

  19. Scolaro, E. et al. Electrification of agricultural machinery: a review. IEEE Access. 9, 164520–164541 (2021).

    Article  Google Scholar 

Download references

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Authors and Affiliations

Authors

Contributions

Salah Sukkarieh is Professor of Robotics and Intelligent Systems at the University of Sydney. Over the last 20 years, he has been researching, developing and commercializing field robots focusing on sustainable agriculture in Australia. Salah Sukkarieh has seen his work implemented in studies for smallholder farmers in Australia and the Indo-Pacific region.

Hod Lipson has been a professor of Engineering and Data Science at Columbia University in New York since 2015 before which he spent 14 years as a professor at Cornell University. He received his PhD in 1999 from the Technion–Israel Institute of Technology, followed by a postdoctorate at Brandeis University and MIT. Hod Lipson’s work on self-aware and self-replicating robots challenges conventional views of robotics and has enjoyed widespread impact. He has also pioneered open-source 3D printing, as well as electronics 3D printing, bio-printing and food printing.

Corresponding authors

Correspondence to Hod Lipson or Salah Sukkarieh.

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The authors declare no competing interests.

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Lipson, H., Sukkarieh, S. Robots may transform the way we produce and prepare food. Nat Rev Bioeng 1, 795–798 (2023). https://doi.org/10.1038/s44222-023-00126-5

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