3D Force and Contact Estimation for a Soft-Bubble Visuotactile Sensor Using FEM
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Oct 2023.
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Citing papers per year: 2024: 1; 2025: 2.
3 papers.
- 2025Particle-Grid Neural Dynamics for Learning Deformable Object Models from RGB-D Videoscited by 22
- 2024FeelAnyForce: Estimating Contact Force Feedback from Tactile Sensation for Vision-Based Tactile Sensorscited by 11
- 2025TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Modelcited by 4
- 2025TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Model12 Sep 2025
- 2025Particle-Grid Neural Dynamics for Learning Deformable Object Models from RGB-D Videos18 Jun 2025
- 2024FeelAnyForce: Estimating Contact Force Feedback from Tactile Sensation for Vision-Based Tactile Sensors2 Oct 2024