Nothing Special   »   [go: up one dir, main page]
Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Comment
  • Published:

A definition for robotics as an academic discipline

Nature Machine Intelligence volume 1, pages 263–264 (2019)Cite this article

Subjects

To develop scientific methods for evaluation in robotics, the field requires a more stringent definition of the subject of study, says Signe Redfield, focusing on capabilities instead of physical systems.

Access through your institution
Buy or subscribe

This is a preview of subscription content, access via your institution

Access options

Access through your institution

Buy this article

  • Purchase on SpringerLink
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

References

  1. Birk, A. IEEE Robot. Autom. Mag. 18, 94–95 (December, 2011).

  2. McKerrow, P. J. Robotics 2, 267–274 (1986).

    Article  Google Scholar 

  3. Flynn, A. M. & Brooks, R. in Proc. 1988 IEEE International Conference on Robotics and Automation 611–617 (1988).

  4. Jiménez-Fabián, R. & Verlinden, O. Med. Eng. Phys. 34, 397–404 (2012).

    Article  Google Scholar 

  5. Moustris, G. P., Hiridis, S. C., Deliparaschos, K. M. & Konstantinidis, K. M. Int. J. Med. Robot. Comp. 7, 375–392 (2011).

    Article  Google Scholar 

  6. Luo, S., Bimbo, J., Dahiva, R. & Liu, H. Mechatronics 48, 54–67 (2017).

    Article  Google Scholar 

  7. Bu, L., Babu, R. & De Schutter, B. IEEE Trans. Syst. Man Cybern. 38, 156–172 (2008).

    Article  Google Scholar 

  8. Braitenberg, V. Vehicles: Experiments in Synthetic Psychology (MIT Press, 1984).

  9. Bonsignorio, F. IEEE Robot. Autom. Mag. 24, 178–182 (September, 2017).

Download references

Acknowledgements

The author would like to thank A. Bouchard, V. Edwards and R. Tatum, who consistently pointed at the right path; the attendees and co-organizers of the 2018 NIST Verification of Autonomous Systems Working Group meeting and the 2018 NATO SCI-313 Specialists’ Meeting, which triggered the development of this work; D. Scheidt, C. Schlenoff, D. Sofge, M. Seto and J. Sustersic, who helped me clarify my thoughts; and Joe Hays and Jamie Lennon, who provided consistent support.

Author information

Authors and Affiliations

  1. Naval Research Laboratory, Washington, DC, USA

    Signe Redfield

Authors
  1. Signe Redfield
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Signe Redfield.

Ethics declarations

Competing interests

The author declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Redfield, S. A definition for robotics as an academic discipline. Nat Mach Intell 1, 263–264 (2019). https://doi.org/10.1038/s42256-019-0064-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s42256-019-0064-x

Search

Advanced search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing