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.
Single- Grasp Object Classification and Feature Extraction with Simple Robot Hands and Tactile Sensors,
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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.