Soft robotics mechanosensing

Lucia Beccai*, Chiara Lucarotti, Massimo Totaro, Majid Taghavi

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

8 Citations (Scopus)

Abstract

We focus on studying ways to encode mechanical information with soft sensing systems to provide future robots with exteroception and proprioception capabilities, as naturally as possible. Recently, we have shown developments on soft artificial mechanosensing by exploiting smart layouts in combination with soft materials, like elastomers and conductive textiles. Here, we briefly discuss some basic requirements against the significant results of state-of-the-art. Then, we report two case studies in which normal and tangential forces, as well as bending and indentation stimuli, are discriminated, respectively. The aim is to lay the ground for further discussions and investigations in order to target real applications with soft robots and wearable systems.

Original languageEnglish
Pages (from-to)11-21
Number of pages11
JournalBiosystems and Biorobotics
Volume17
DOIs
Publication statusPublished - 2017

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2017.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Fingerprint

Dive into the research topics of 'Soft robotics mechanosensing'. Together they form a unique fingerprint.

Cite this