TY - GEN
T1 - 3D Force and Contact Estimation for a Soft-Bubble Visuotactile Sensor Using FEM
AU - Peng, Jing Chen
AU - Yao, Shaoxiong
AU - Hauser, Kris
N1 - This work is supported by NIFA/USDA Award # 2020-67021-32799.
PY - 2024
Y1 - 2024
N2 - Soft-bubble tactile sensors have the potential to capture dense contact and force information across a large contact surface. However, it is difficult to extract contact forces directly from observing the bubble surface because local contacts change the global surface shape significantly due to membrane mechanics and air pressure. This paper presents a model-based method of reconstructing dense contact forces from the bubble sensor's internal RGBD camera and air pressure sensor. We present a finite element model of the force response of the bubble sensor that uses a linear plane stress approximation that only requires calibrating 3 variables. Our method is shown to reconstruct normal and shear forces significantly more accurately than the state-of-the-art, with comparable accuracy for detecting the contact patch, and with very little calibration data.
AB - Soft-bubble tactile sensors have the potential to capture dense contact and force information across a large contact surface. However, it is difficult to extract contact forces directly from observing the bubble surface because local contacts change the global surface shape significantly due to membrane mechanics and air pressure. This paper presents a model-based method of reconstructing dense contact forces from the bubble sensor's internal RGBD camera and air pressure sensor. We present a finite element model of the force response of the bubble sensor that uses a linear plane stress approximation that only requires calibrating 3 variables. Our method is shown to reconstruct normal and shear forces significantly more accurately than the state-of-the-art, with comparable accuracy for detecting the contact patch, and with very little calibration data.
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U2 - 10.1109/ICRA57147.2024.10610233
DO - 10.1109/ICRA57147.2024.10610233
M3 - Conference contribution
AN - SCOPUS:85202452402
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 5666
EP - 5672
BT - 2024 IEEE International Conference on Robotics and Automation, ICRA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Conference on Robotics and Automation, ICRA 2024
Y2 - 13 May 2024 through 17 May 2024
ER -