The contribution of training an AI model to delicate grasping of an apple by a robotic hand is conditional, not a primary causal factor.
My prior is that about 70% of success comes from sensor calibration and hand mechanics, not AI.
AI has a 95% probability of correctly identifying the apple, but without well-tuned sensors, the likelihood of crushing remains high, around 60%.
For example, if the Festo robotic hand had defective pressure sensors, even perfect AI wouldn't prevent an initial poor contact and the apple would be damaged.
We update our view: AI enables but does not determine grasping success without a solid physical base.