CANFnet
CANFnet is a neural network architecture that extracts high-resolution contact area and normal force information from visuotactile sensor images, trained using labeled data from conventional force/torque sensors rather than complex material modeling. The system works effectively with commercial DIGIT and GelSight Mini sensors for real-time force control tasks, offering a plug-and-play solution that can generalize across sensors of the same type.
