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ORIGINAL RESEARCH article

Front. Robot. AI
Sec. Robot Design
Volume 11 - 2024 | doi: 10.3389/frobt.2024.1375515

Investigating the Performance of Soft Robotic Adaptive Feet with Longitudinal and Transverse Arches Provisionally Accepted

 Anna Pace1* Giorgio Grioli1, 2 Alice Ghezzi1, 2  Antonio Bicchi1, 2  Manuel G. Catalano1
  • 1Italian Institute of Technology (IIT), Italy
  • 2Department of Information Engineering, University of Pisa, Italy

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Biped robots usually adopt feet with a rigid structure that simplifies walking on flat grounds and yet hinders ground adaptation in unstructured environments, thus jeopardizing stability. We recently explored in the SoftFoot the idea of adapting a robotic foot to ground irregularities along the sagittal plane. Building on the previous results, we propose in this paper a novel robotic foot able to adapt both in the sagittal and frontal planes, similarly to the human foot. It features five parallel modules with intrinsic longitudinal adaptability that can be combined in many possible designs through optional rigid or elastic connections. By following a methodological design approach, we narrow down the design space to five candidate foot designs and implement them on a modular system. Prototypes are tested experimentally via controlled application of force, through a robotic arm, onto a sensorized plate endowed with different obstacles. Their performance is compared, using also a rigid foot and the previous SoftFoot as a baseline. Analysis of footprint stability shows that the introduction of the transverse arch, by elastically connecting the five parallel modules, is advantageous for obstacle negotiation, especially when obstacles are located under the forefoot.In addition to biped robots' locomotion, this finding might also benefit lower-limb prostheses design.

Keywords: Robotic foot, adaptive foot, Biped robots, humanoid robots, soft robotics, legged robots, biped locomotion

Received: 24 Jan 2024; Accepted: 21 May 2024.

Copyright: © 2024 Pace, Grioli, Ghezzi, Bicchi and Catalano. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: PhD. Anna Pace, Italian Institute of Technology (IIT), Genova, Italy