Title
A Model-Based Sensor Fusion Approach for Force and Shape Estimation in Soft Robotics
Abstract
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 ...
Year
DOI
Venue
2020
10.1109/LRA.2020.3008120
IEEE Robotics and Automation Letters
Keywords
DocType
Volume
Modeling, control, and learning for soft robots,soft sensors and actuators,soft robot materials and design,force and tactile sensing
Journal
5
Issue
ISSN
Citations 
4
2377-3766
2
PageRank 
References 
Authors
0.40
0
12
Name
Order
Citations
PageRank
Stefan Escaida Navarro1426.32
Steven Nagels260.81
Hosam Alagi320.40
Lisa-Marie Faller4134.94
Olivier Goury5152.88
Thor Morales Bieze6111.78
Hubert Zangl75821.63
Björn Hein8135.62
Raf Ramakers9927.36
w deferme1061.15
Gang Zheng1120.40
Christian Duriez1243542.51