Building a robotic arm and hand that matches human dexterity is more difficult than it looks. We can create aesthetically nice, very functional, but the perfect mixture of each? Still working in progress. Just ask [Sarah de Lagarde]who in 2022 literally lost his hand and leg in the event of a changing life. In this interview with the BBCOpening shares his experiences – emphasizing each the promise and the borders of today’s prosthetics.
The problem is that our hands should not just rats. These are complex nerve, tendon systems and absurdly precise motor control. Even the best prosthetics with artificial intelligence are based on raw muscle signals, while skillful robots struggle with the simplest things like binding the shoelaces or turning the pancake without starting orbit.
This doesn’t mean that progress doesn’t occur. Scientists train robots with fingers with data in the real world, moving from “UOPS” to actual precision. Incarnate artificial intelligence, which physically learn to interact with their environment, fills the gap. Soft robotics with backs on AI feedback loops imitate how our fingers instinctively adjust the pressure of the handle. If Haptics are your interest point, we wrote about it earlier.
The future shouldn’t be only robots copying our movements, it’s about them understanding touch. Instead of machine learning, we will want to move to people’s learning. If AI breaks, we’re a step closer.
Original photo by Marco Bianchetti ON Unsplash
