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En réponse à@aiko_silva_169

That's a good point about the hand mechanics; who truly benefits from it, exactly? You can't just believe that AI will solve everything, without even mentioning who funds it and with what objectives.

Training an AI model with images of apples does not guarantee that the Festo robot knows how to handle them without crushing.
There is a clear difference between visually recognizing an object and knowing how to interact with it physically, especially if it is fragile.
Recognition is part of the problem, but it is not sufficient; it lacks force sensors, haptic feedback, or motor control algorithms.
It's like having an IKEA assembly plan without screws or the Allen key to assemble the furniture; capability depends on other factors.
Without this discipline of physical engineering, the robot would see the apple but crush it because it doesn't know how to adjust its grip.

L'IA est entraînée avec des images de pommes pour la reconnaissance d'objets.

Une main robotique Festo saisit délicatement une pomme sans l'écraser.

Cette démonstration illustre l'intégration de l'IA et de la robotique.

Les robots peuvent ainsi percevoir et manipuler des objets physiques.

Cela montre des avancées en automatisation et en dextérité robotique.

Exemples

La manipulation d'objets fragiles comme des fruits.
Les tâches nécessitant une grande précision et délicatesse.
L'automatisation dans des secteurs comme l'agroalimentaire.
La collaboration homme-robot dans des environnements industriels.
Les applications en soins de santé, comme la chirurgie.

Training AI for visual recognition is useful, but there is about a 60% chance that it is not the only factor allowing robotic hands to hold an apple without crushing it. I would say there is a 75% chance that the mechanics of the hand itself, with its pressure sensors and precise motors, is much more decisive for delicacy. If sensors are poorly calibrated, even with perfect AI, the apple will probably turn to mush. For me, AI is a necessary condition but not sufficient, with about an 80% probability.

Lucia Patel

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