A Model-based Sensor Fusion Approach for Force and Shape Estimation in Soft Robotics

Autor: Escaida Navarro, Stefan, Hein, Björn, Navarro, Stefan Escaida, Nagels, Steven, Alagi, Hosam, Faller, Lisa-Marie, Goury, Olivier, Morales-Bieze, Thor, Zangl, Hubert, Hein, Bjorn, Ramakers, Raf, Deferme, Wim, Zheng, Gang, Duriez, Christian
Přispěvatelé: Deformable Robots Simulation Team (DEFROST ), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institute for Materials Research [Diepenbeek] (IMO), Hasselt University (UHasselt), Institute of Nanotechnology [Karlsruhe] (INT), Karlsruhe Institute of Technology (KIT), Carinthia University of Applied Sciences, Alpen-Adria-Universität Klagenfurt [Klagenfurt, Austria], Expertise centre for Digital Media [Hasselt] (EDM), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), This work was supported by the Region Hauts-de-France, the project COMOROS (ANR-17-ERC2-0029), the European Regional Development Fund (ERDF), ROBOCOP (ANR-19-CE19-0026) and the project Inventor (I-SITE ULNE, le programme d’Investissements d’Avenir, Métropole Européenne de Lille). It was also supported by the Federal Ministry of Education and Research (Bundesministerium fur Bildung und Forschung, BMBF) within the project (Verbundprojekt-Nr.: 16SV7823K:) and Project of Department of Education of Guangdong Province (No.2019KZDXM037)., SOFA, ANR-17-ERC2-0029,COMOROS,COntrol and Modelling for sOft RObots in Surgery(2017), ANR-19-CE19-0026,ROBOCOP,robotisation de l'implant cochléaire(2019), Goury, Olivier/0000-0002-8616-350X, Nagels, Steven/0000-0002-8044-5733, Faller, Lisa-Marie/0000-0001-8434-1440, Zangl, Hubert/0000-0002-9717-9566
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Control and Optimization
Computer science
Astrophysics::High Energy Astrophysical Phenomena
Capacitive sensing
0206 medical engineering
Biomedical Engineering
Soft robotics
Context (language use)
02 engineering and technology
[SPI.AUTO]Engineering Sciences [physics]/Automatic
03 medical and health sciences
0302 clinical medicine
Artificial Intelligence
force and tactile sensing
[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]
Computer vision
soft sensors and actuators
Deformation (mechanics)
business.industry
Mechanical Engineering
Modeling
soft robot materials and design
Sensor fusion
020601 biomedical engineering
Finite element method
Computer Science Applications
and learning for soft robots
Human-Computer Interaction
Control and Systems Engineering
Computer Vision and Pattern Recognition
Artificial intelligence
business
control
030217 neurology & neurosurgery
Zdroj: IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters, IEEE 2020, 5 (4), pp.5621-5628. ⟨10.1109/LRA.2020.3008120⟩
IEEE Robotics and Automation Letters, 2020, 5 (4), pp.5621-5628. ⟨10.1109/LRA.2020.3008120⟩
ISSN: 2377-3766
DOI: 10.1109/LRA.2020.3008120⟩
Popis: In this letter, 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 soft capacitive sensing 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. This work was supported in part by the Region Hauts-de-France, the Project COMOROS under Grant ANR-17-ERC2-0029, in part by the European Regional Development Fund (ERDF), ROBOCOP under Grant ANR-19-CE19-0026, in part by the Project Inventor (I-SITE ULNE, le programme d'Investissements d'Avenir, Metropole Europeenne de Lille), and in part by the Federal Ministry of Education and Research (Bundesministerium fur Bildung und Forschung, BMBF) within the Project (Verbundprojekt-Nr.: 16SV7823 K:) and Project of Department of Education of Guangdong Province under Grant 2019KZDXM037. Navarro, SE (corresponding author), Inria Lille Nord Europe, DEFROST, F-59650 Villeneuve Dascq, France, CRIStAL Ctr Rech Informat Signal & Automat Lille, F-59650 Villeneuve Dascq, France. stefan.escaida-navarro@inria.fr; steven.nagels@uhasselt.be; hosam.alagi@kit.edu; l.faller@fh-kaernten.at; olivier.goury@inria.fr; thorbieze@gmail.com; hubert.zangl@tugraz.at; hein@ira.uka.de; raf.ramakers@uhasselt.be; wim.deferme@uhasselt.be; gang.zheng@inria.fr; christian.duriez@inria.fr
Databáze: OpenAIRE