Exploiting Adaptability in Soft Feet for Sensing Contact Forces

Domenico Mura, Cosimo Della Santina, Cristina Piazza, Irene Frizza, Cecilia Morandi, Manolo Garabini, Giorgio Grioli, Manuel Giuseppe Catalano

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The large majority of legged robots currently employ ball-feet or flat-feet. More recently soft feet have been introduced, to improve walking performance on uneven grounds. Nevertheless, their novel adaptability requires sensor systems beyond traditional Force/Torque sensors to estimate the distribution of forces on the contact surface. This letter shows how a perception layer realized with Inertial Measurement Units allows a soft foot to reconstruct not only the shape of the foot-hinting at the shape of the ground beneath-but also, under precise hypotheses, the contact force distribution. The problem is theoretically formalized and analysed with a quasi-static approach in the Sagittal plane. Then, theoretical results are experimentally validated in a simplified foot-ground interaction scenario. The force reconstruction provided by the proposed method allows to correctly identify the sole contact location arising from obstacles with radius down to 1 cm.

Original languageEnglish
Article number8894422
Pages (from-to)391-398
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume5
Issue number2
DOIs
StatePublished - Apr 2020
Externally publishedYes

Keywords

  • Soft robotics
  • legged locomotion
  • robot sensing systems
  • robotic foot design

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