Training the AI model for visual recognition is a useful prerequisite, I would say with an 85% probability, for a robotic hand like Festo's to identify an apple. However, the delicacy of grasping depends, in my opinion, with a 70% probability, much more on the integration and calibration of force sensors and haptic mechanics. If pressure sensors on the fingers are poorly calibrated, even an AI that identifies the apple with a 99% confidence can still crush it, for example, if the contact sensitivity is not adjusted. A software update is needed to include the critical contribution of hardware precision.