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SOFT ROBOTICS

Resilient machines through adaptive morphology

Nature Machine Intelligence volume 1, pages 338–339 (2019)Cite this article

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To prepare robots for working autonomously under real-world conditions, their resilience and capability to recover from damage needs to improve radically. A fresh take on robot design suggests that instead of adapting the robotic control strategy, we could enable robots to change their physical bodies to recover more effectively from damage.

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Fig. 1: A quadruped soft robot made from elastomer voxels (or cuboids).

References

  1. Kriegman, S. et al. in Proc. Robotics: Science and Systems XV 28 (Robotics Proceedings, 2019).

  2. Bongard, J., Zykov, V. & Lipson, H. Science 314, 1118–1121 (2006).

    Article  Google Scholar 

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

    Article  Google Scholar 

  4. Pfeifer, R. & Bongard, J. C. How the Body Shapes the Way We Think (MIT Press, 2006).

  5. Hauser, H., Ijspeert, A. J., Füchslin, R. M., Pfeifer, R. & Maass, W. Biol. Cybern. 105, 355–370 (2011).

    Article  Google Scholar 

  6. Hermans, M., Burm, M., Van Vaerenbergh, T., Dambre, J. & Bienstman, P. Nat. Commun. 6, 6729 (2015).

    Article  Google Scholar 

  7. Garrad, M., Rossiter, J. & Hauser, H. IEEE Robot. Autom. Lett. 3, 2056–2062 (2018).

    Article  Google Scholar 

  8. Rus, D. & Tolley, M. T. Nature 521, 467–475 (2015).

    Article  Google Scholar 

  9. McEvoy, M. A. & Correll, N. Science 347, 1261689 (2015).

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Engineering Mathematics, University of Bristol, Bristol, UK

    Helmut Hauser

  2. Softlab, Bristol Robotics Laboratory, Bristol, UK

    Helmut Hauser

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  1. Helmut Hauser
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Correspondence to Helmut Hauser.

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The author declares no competing interests.

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Hauser, H. Resilient machines through adaptive morphology. Nat Mach Intell 1, 338–339 (2019). https://doi.org/10.1038/s42256-019-0076-6

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