Hyperelastic Modeling and Validation of Hybrid-Actuated Soft Robot with Pressure-Stiffening
Author:
Affiliation:
1. Mechanical Engineering Department, Concordia University, Montreal, QC H3G 1M8, Canada
2. Department of Surgery, McGill University, Montreal, QC H3A 0G4, Canada
Abstract
Funder
Natural Science and Engineering Research Council (NSERC) of Canada
Fonds de Recherche du Québec pour la Nature et les Technologies
Concordia University
McGill University
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering
Link
https://www.mdpi.com/2072-666X/14/5/900/pdf
Reference38 articles.
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4. Torkaman, T., Roshanfar, M., Dargahi, J., and Hooshiar, A. (2022, January 14–15). Accurate Embedded Force Sensor for Soft Robots with Rate-dependent Deep Neural Calibration. Proceedings of the 2022 IEEE International Symposium on Robotic and Sensors Environments (ROSE), Abu Dhabi, United Arab Emirates.
5. Torkaman, T., Roshanfar, M., Dargahi, J., and Hooshiar, A. (2022, January 13–15). Analytical Modeling and Experimental Validation of a Gelatin-based Shape Sensor for Soft Robots. Proceedings of the 2022 International Symposium on Medical Robotics (ISMR), Atlanta, GA, USA.
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