From CySkin to ProxySKIN: Design, Implementation and Testing of a Multi-Modal Robotic Skin for Human-Robot Interaction.

proximity sensors robotic skin sensor arrays and networks tactile sensors

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
19 Feb 2024
Historique:
received: 30 12 2023
revised: 01 02 2024
accepted: 15 02 2024
medline: 24 2 2024
pubmed: 24 2 2024
entrez: 24 2 2024
Statut: epublish

Résumé

The Industry 5.0 paradigm has a human-centered vision of the industrial scenario and foresees a close collaboration between humans and robots. Industrial manufacturing environments must be easily adaptable to different task requirements, possibly taking into account the ergonomics and production line flexibility. Therefore, external sensing infrastructures such as cameras and motion capture systems may not be sufficient or suitable as they limit the shop floor reconfigurability and increase setup costs. In this paper, we present the technological advancements leading to the realization of ProxySKIN, a skin-like sensory system based on networks of distributed proximity sensors and tactile sensors. This technology is designed to cover large areas of the robot body and to provide a comprehensive perception of the surrounding space. ProxySKIN architecture is built on top of CySkin, a flexible artificial skin conceived to provide robots with the sense of touch, and arrays of Time-of-Flight (ToF) sensors. We provide a characterization of the arrays of proximity sensors and we motivate the design choices that lead to ProxySKIN, analyzing the effects of light interference on a ToF, due to the activity of other sensing devices. The obtained results show that a large number of proximity sensors can be embedded in our distributed sensing architecture and incorporated onto the body of a robotic platform, opening new scenarios for complex applications.

Identifiants

pubmed: 38400493
pii: s24041334
doi: 10.3390/s24041334
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Union
ID : 101070310

Auteurs

Francesco Giovinazzo (F)

Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), Università di Genova, Via all'Opera Pia 13, 16145 Genova, Italy.

Francesco Grella (F)

Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), Università di Genova, Via all'Opera Pia 13, 16145 Genova, Italy.

Marco Sartore (M)

ElbaTech Srl, Via Roma 10, 57030 Marciana, Italy.

Manuela Adami (M)

ElbaTech Srl, Via Roma 10, 57030 Marciana, Italy.

Riccardo Galletti (R)

ElbaTech Srl, Via Roma 10, 57030 Marciana, Italy.

Giorgio Cannata (G)

Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), Università di Genova, Via all'Opera Pia 13, 16145 Genova, Italy.

Classifications MeSH