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Multiphysics simulation and design framework for developing a vision-based tactile sensor with force estimation and slip detection capabilities
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AI
DOI：10.1016/j.sna.2024.115761.png)
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Abstract
En 中文
Recent achievements in the field of tactile sensing has enhanced the dexterity of robots interacting with their environments. Superior to other transduction mechanisms, vision-based tactile sensing enables high-resolution sensing of the contact surface. Accordingly, many vision-based tactile sensors have been introduced in recent years, all of which are designed and fabricated based on a trial-and-error approach with limited prior system modeling and simulation. In this study, we introduce a detailed framework for the development of a vision-based tactile sensor with markers motion mechanism. We start with the design and coupled simulation of the mechanical and optical subsystems followed by fabrication, testing, and validation of the proposed sensor. An uncertainty analysis is carried out during the design stage where various errors are propagated to determine the expected sensor accuracy. The simulated sensor showed a maximum error of 0.15 newtons with the error for the camera distance to the rigid membrane having the highest contribution. After fabrication of the sensor, it is observed that there is a very good agreement between simulation and experimental results. The sensor was tested for sensing tangential forces (up to slip) along two directions and normal force (up to 5 newtons) at 30 Hz rate with measurement errors (95 % confidence interval) of 0.39 newton, 0.11 newton, and 0.12 newton, respectively. The sensor detected the slip in 97 % of the tests with an average latency of 10 frames.
Keywords:
Optical simulation
Tactile sensing
Vision-based tactile sensing
Force sensor
Uncertainty analysis
Machine learning
Journal
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4.9
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1.5W
Citations:
3.3W
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