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Skills for physical artificial intelligence

Synthesizing robots via physical artificial intelligence is a multidisciplinary challenge for future robotics research. An education methodology is needed for researchers to develop a combination of skills in physical artificial intelligence.

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Fig. 1: PAI is the theory and practice of synthesizing nature-like intelligent robotic systems.
Fig. 2: The five main disciplines of PAI.


  1. Cully, A., Clune, J., Tarapore, D. & Mouret, J.-B. Nature 521, 503–507 (2015).

    Article  Google Scholar 

  2. Bilodeau, R. A. & Kramer, R. K. Front. Robot. AI 4, 48 (2017).

    Article  Google Scholar 

  3. Petersen, K. H., Napp, N., Stuart-Smith, R., Rus, D. & Kovac, M. Sci. Robot. 4, eaau8479 (2019).

    Article  Google Scholar 

  4. Xia, B. et al. Actuators 9, 62 (2020).

    Article  Google Scholar 

  5. Pena-Francesch, A., Jung, H., Demirel, M. C. & Sitti, M. Nat. Mater. 19, 1230–1235 (2020).

    Article  Google Scholar 

  6. Sadeghi, A., Mondini, A. & Mazzolai, B. Soft Robot. 4, 211–223 (2017).

    Article  Google Scholar 

  7. Man, K. & Damasio, A. Nat. Mach. Intell. 1, 446–452 (2019).

    Article  Google Scholar 

  8. Sol, J. A. H. P. et al. Chem. Commun. 55, 1726–1729 (2019).

    Article  Google Scholar 

  9. Pfeifer, R., Bongard, J. & Grand, S. How the Body Shapes the Way We Think: A New View of Intelligence (MIT Press, 2007).

  10. Mengüç, Y., Correll, N., Kramer, R. & Paik, J. Sci. Robot. 2, eaar4527 (2017).

    Article  Google Scholar 

  11. Lipson, H. & Pollack, J. B. Nature 406, 974–978 (2000).

    Article  Google Scholar 

  12. Yang, G.-Z. et al. Sci. Robot. 3, eaar7650 (2018).

    Article  Google Scholar 

  13. Kovac, M. Science 352, 895–896 (2016).

    Article  Google Scholar 

  14. Hauser, H. Nat. Mach. Intell. 1, 338–339 (2019).

    Article  Google Scholar 

  15. Howard, D. et al. Nat. Mach. Intell. 1, 12–19 (2019).

    Article  Google Scholar 

  16. Chrisley, R. & Ziemke, T. In Encyclopedia of Cognitive Science (Wiley, 2006).

  17. Miriyev, A., Stack, K. & Lipson, H. Nat. Commun. 8, 596 (2017).

    Article  Google Scholar 

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Correspondence to Aslan Miriyev or Mirko Kovač.

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Miriyev, A., Kovač, M. Skills for physical artificial intelligence. Nat Mach Intell 2, 658–660 (2020).

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