LRCN and Transformer models using GelSight tactile images improve compliance prediction accuracy over baselines and show that objects harder than the sensor are harder to estimate.
An Investigation on the Effects of in Vitro Induced Advanced Glycation End-Products on Cortical Bone Fracture Mechanics at Fall-Related Loading Rates,
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Advances in Compliance Detection: Novel Models Using Vision-Based Tactile Sensors
LRCN and Transformer models using GelSight tactile images improve compliance prediction accuracy over baselines and show that objects harder than the sensor are harder to estimate.