Training an AI model to visually recognize an apple is of course useful, but the probability of a delicate grasp depends more on other critical prerequisites. My estimate is that the ability of a robotic hand not to crush the apple is influenced about 80% by its force sensors and motor control algorithms, not just recognition. Imagine a GPS that tells you where the restaurant is with 99% certainty, but not how to hold the fork without dropping it; it’s the same for the grip pressure. Without precise calibration of these sensors, there is a 70% chance that the robotic hand will turn the apple into puree, even if AI identifies it perfectly.