• English
    • français
  • Help
  •  | 
  • Contact
  •  | 
  • About
  •  | 
  • Login
  • HAL portal
  •  | 
  • Pages Pro
  • EN
  •  / 
  • FR
View Item 
  •   LillOA Home
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • View Item
  •   LillOA Home
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A Model-based Sensor Fusion Approach for ...
  • BibTeX
  • CSV
  • Excel
  • RIS

Document type :
Article dans une revue scientifique
DOI :
10.1109/LRA.2020.3008120
Title :
A Model-based Sensor Fusion Approach for Force and Shape Estimation in Soft Robotics
Author(s) :
Escaida Navarro, Stefan [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Hein, Björn [Auteur]
Institute for Materials Research [Diepenbeek] [IMO]
Navarro, Stefan Escaida [Auteur]
Institute of Nanotechnology [Karlsruhe] [INT]
Nagels, Steven [Auteur]
Institute for Materials Research [Diepenbeek] [IMO]
Alagi, Hosam [Auteur]
Institute of Nanotechnology [Karlsruhe] [INT]
Faller, Lisa-Marie [Auteur]
Carinthia University of Applied Sciences
Goury, Olivier [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Morales-Bieze, Thor [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Zangl, Hubert [Auteur]
Alpen-Adria-Universität Klagenfurt [Klagenfurt, Austria]
Hein, Bjorn [Auteur]
Institute of Nanotechnology [Karlsruhe] [INT]
Ramakers, Raf [Auteur]
Expertise centre for Digital Media [Hasselt] [EDM]
Deferme, Wim [Auteur]
Institute for Materials Research [Diepenbeek] [IMO]
Zheng, Gang [Auteur] refId
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Deformable Robots Simulation Team [DEFROST ]
Duriez, Christian [Auteur] refId
Deformable Robots Simulation Team [DEFROST ]
Journal title :
IEEE Robotics and automation letters
Pages :
5621-5628
Publisher :
IEEE
Publication date :
2020
ISSN :
2377-3766
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Informatique [cs]/Robotique [cs.RO]
English abstract : [en]
In this paper, we address the challenge of sensor fusion in Soft Robotics for estimating forces and deformations. In the context of intrinsic sensing, we propose the use of a soft capacitive sensor to find a contact's ...
Show more >
In this paper, we address the challenge of sensor fusion in Soft Robotics for estimating forces and deformations. In the context of intrinsic sensing, we propose the use of a soft capacitive sensor to find a contact's location, and the use of pneumatic sensing to estimate the force intensity and the deformation. Using a FEM-based numerical approach, we integrate both sensing streams and model two Soft Robotics devices we have conceived. These devices are a Soft Pad and a Soft Finger. We show in an evaluation that external forces on the Soft Pad can be estimated and that the shape of the Soft Finger can be reconstructed.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
ANR Project :
COntrol and Modelling for sOft RObots in Surgery
robotisation de l'implant cochléaire
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
Files
Thumbnail
  • https://hal.inria.fr/hal-02882039/document
  • Open access
  • Access the document
Thumbnail
  • https://hal.inria.fr/hal-02882039/document
  • Open access
  • Access the document
Thumbnail
  • https://hal.inria.fr/hal-02882039/document
  • Open access
  • Access the document
Université de Lille

Mentions légales
Université de Lille © 2017