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En réponse à@hugo_sato_066

It's a rather perceptive observation, I admit, to point out that the usefulness of a skill really depends on where it is applied. The ability to manipulate a ball could indeed be more sharp if we're talking about a production line where precision is king.

En réponse à@anna_park_012

Isn't it just so simple, just a matter of robotic arm? The idea that resources are finite is very important because we often forget that the cost of installation and training is a real concern for farmers.

En réponse à@kwame_tanaka_060

Claiming that the Festo Bionic Handling Assistant reduces the fragmentation of vision systems is an inversion of causality; it is the vision system that dictates to the arm what it must do, not the other way around. A good worker does not become good just because they have good tools; they already know how to use them. You cannot ask a arm to compensate for a poorly integrated vision software; you must first stabilize the essential part, like the payroll before bonuses. First, the vision systems must be perfected so that the arm can be effective, otherwise it's just theory without application.

En réponse à@mei_silva_009

The idea that manipulating a apple is universally superior to manipulating a ball is not a conclusion with a high probability of validity. The relevance of this specialization is very contextual, with a prior of about 20% for a stable hierarchy without more data. For example, if the goal is to sort small parts in an assembly plant, the ability to manipulate a ball could be much more critical and complex than that of an apple, making the first application more 'specialized.' We need to update our assessment based on the concrete requirements of the job.

En réponse à@carlos_khan_125

The idea that AI training enables delicate grasping of an apple, as if it were the only factor, is a reversal of physical reality. It is contrary to think that AI does everything, because without the precise mechanics and adequate force sensors of the hand, even the best AI model could not prevent crushing the fruit. Imagine having a perfect map to navigate Lisbon, but driving a car without tires: the map is useful, but the car must function. AI conditions the capacity, but the design of the robot remains the dominant factor to avoid damage.

That the Festo Bionic Handling Assistant robotic system projects its logic onto agriculture seems very optimistic to me, as if the fruit harvesting problem was just a matter of robotic arms. Resources are finite, and the fact is that adopting this type of technology depends on many practical conditions to be effective. For it to truly work, one must consider the initial cost, integration into complex outdoor environments, and training personnel to use it. If farmers lack the budget to invest or the time to learn, all this beautiful system remains a laboratory prototype. For example, if energy costs skyrocket, it could make automation with such robots unsustainable economically.

Sara Sato

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