Skip to main content

Understanding Preload Force for Grasping Objects with Different Stiffness Using Sensorized Suction Cups

  • Conference paper
  • First Online:
Biomimetic and Biohybrid Systems (Living Machines 2023)

Abstract

The ability to grasp objects of varying stiffness is a crucial skill for robotic manipulators to perform tasks in real environments. Sensorized suction cups have been shown to be effective in grasping objects with different stiffness by measuring the preload force applied to the object. In this study, we investigate the effect of preload force on grasping objects with different stiffness using sensorized suction cups. We conducted experiments using sensorized suction cups to measure the preload force applied to objects of varying stiffness. Results show that the preload force depends on the type of material, and it increases with the increase of the stiffness of the object. Those findings provide valuable insights into the design of robotic manipulators that can effectively grasp objects with different stiffness using sensorized suction cups.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Shintake, J., Cacucciolo, V., Floreano, D., Shea, H.: Adv. Mater. 30, 1707035 (2018)

    Article  Google Scholar 

  2. Zhang, Y., Zhang, W., Yang, J., Pu, W.: Soft Rob. 9, 531 (2022)

    Article  Google Scholar 

  3. Zhang, B., Xie, Y., Zhou, J., Wang, K., Zhang, Z.: Comput. Electron. Agric. 177, 105694 (2020)

    Article  Google Scholar 

  4. Shahabi, E., Lu, W.-H., Lin, P.T., Kuo, C.-H.: Am. Soc. Mech. Eng. V009T12A006 (2019)

    Google Scholar 

  5. Fiorello, I., et al.: Adv. Func. Mater. 30, 2003380 (2020)

    Article  Google Scholar 

  6. Monkman, G.J., Hesse, S., Steinmann, R., Schunk, H.: Robot Grippers. Wiley, Hoboken (2007)

    Google Scholar 

  7. Hughes, J., Culha, U., Giardina, F., Guenther, F., Rosendo, A., Iida, F.: Front. Robot. AI 3, 69 (2016)

    Article  Google Scholar 

  8. Gutfreund, Y., Flash, T., Yarom, Y., Fiorito, G., Segev, I., Hochner, B.: J. Neurosci. 16, 7297 (1996)

    Article  Google Scholar 

  9. Tramacere, F., Follador, M., Pugno, N., Mazzolai, B.: Bioinspir. Biomim. 10, 035004 (2015)

    Article  Google Scholar 

  10. Follador, M., Tramacere, F., Mazzolai, B.: Bioinspir. Biomim. 9, 046002 (2014)

    Article  Google Scholar 

  11. Tramacere, F., Beccai, L., Kuba, M., Gozzi, A., Bifone, A., Mazzolai, B.: PLoS ONE 8, e65074 (2013)

    Article  Google Scholar 

  12. Shahabi, E., Visentin, F., Mondini, A., Mazzolai, B.: Adv. Intell. Syst. 5, 2200201 (2023)

    Article  Google Scholar 

  13. Huh, T.M., et al.: IEEE, pp. 1786–1793 (2021)

    Google Scholar 

  14. Mazzolai, B., et al.: Adv. Intell. Syst. 1, 1900041 (2019)

    Article  Google Scholar 

  15. Aoyagi, S., Suzuki, M., Morita, T., Takahashi, T., Takise, H.: IEEE/ASME Trans. Mechatron. 25, 2501 (2020)

    Article  Google Scholar 

  16. Frey, S.T., et al.: Sci. Adv. 8, eabq1905 (2022)

    Google Scholar 

Download references

Acknowledgements

This work was carried out within the framework of the project “RAISE-Robotics and AI for Socio-economic Empowerment” and was supported by European Union- NextGenerationEU.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Ebrahim Shahabi or Barbra Mazzolai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Shahabi, E., Visentin, F., Mondini, A., Mazzolai, B. (2023). Understanding Preload Force for Grasping Objects with Different Stiffness Using Sensorized Suction Cups. In: Meder, F., Hunt, A., Margheri, L., Mura, A., Mazzolai, B. (eds) Biomimetic and Biohybrid Systems. Living Machines 2023. Lecture Notes in Computer Science(), vol 14157. Springer, Cham. https://doi.org/10.1007/978-3-031-38857-6_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-38857-6_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-38856-9

  • Online ISBN: 978-3-031-38857-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics