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The Technical University of Vienna (TU Wien) has chosen a surprisingly mundane testing ground: cleaning a sink. Behind this seemingly simple task lies a major technological challenge.
The robot must master complex concepts such as the pressure to be applied, the angle of attack or even real-time adaptation to different surfaces. Traditional methods required meticulous programming of each movement.
The researchers took a radical turn by developing an observational learning system. The Secret ? A sponge equipped with sophisticated sensors that records the force applied and the position during cleaning by a human.
The robot transforms the collected data into behaviors thanks to an advanced neural network. This technology allows it to faithfully reproduce human gestures without the need for detailed instructions.
The system automatically analyzes and adapts its movements, a feat that opens the way to much broader applications than simple cleaning. The researchers are thinking big: the system could be adapted to sandblasting, painting or even welding.
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Butler robots could soon become a reality, capable of performing a multitude of household tasks with the same dexterity as a human.
The innovation doesn't stop there. Researchers are working on a learning system that would allow robots to share their experiences.
Each machine could thus benefit from the knowledge acquired by its peers, multiplying their collective efficiency. This technology marks a crucial step in the evolution of robotics.
By combining cutting-edge sensors, neural networks and observational learning, researchers have created a system that makes robots more adaptable and efficient than ever before.
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