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A robot that learns to do household chores like taking out the trash by watching people

  • July 21, 2022
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This is a new robot that can learn like a child. (James Young/The New York Times) For a long time now, the Internet has been talking about the

This is a new robot that can learn like a child. (James Young/The New York Times)

For a long time now, the Internet has been talking about the robot revolution, which can be said to have started in the last century in the computer age, but scientists have made amazing achievements in recent years, such as e.g. This robot that can program itself and learn different activities just by observing how humans do it.

The shocking thing is that until now, if a developer wanted an automaton to perform a specific action, he had to go to his computer and write down the commands as lines of code written in a computer language that the machine could understand.

but with This new innovation, robots can be controlled in the world just like humans do today. Because the goal is that, just as babies and children do, machines learn to clean, sit, and other activities by observing humans.

We must explain that artificial intelligence and all kinds of robots have been created in the world of technology Reinforcement learning consisting of image-based learning systemsBut to implement a simulation strategy in which control of the car is taken as if it were a student and the relevant processes are taught, This is completely new in computer science.

In other words, a research team at Carnegie Mellon University has developed a much more intuitive method that effectively trains and programs systems just by watching what people do. It’s an algorithm called WHIRL that searches the train Robot teams through tutorial videos.

For demonstrations, they used a conventional robotic arm, but it learned to perform more than 20 basic household activities, such as opening and closing drawers, refrigerators, microwave ovens or taking garbage out of containers. Here is the interesting thing The goal is to implement this algorithm in much more complex systems.

Carnegie Mellon researchers say that “imitation is a good way to learn, and training robots perfectly with direct human observation remains an unsolved problem in the field, but this work takes an important step toward getting there.”

Although for many this type of development is taken from a dystopian science fiction film, the fact is that Implement this algorithm and other types of systems in robotic elements can improve the daily life of many peopleSince it is initially planned to bring these new innovations to the medical services sector, For example, in nursing homes.

Finally, robotic elements with the new WHIRL algorithm will not require any other programming or additional computing because the elements will focus only on learning to perform a specific task correctly, even if it takes several hours.

However, the university’s research team was emphatic about the learning method provided This algorithm is not identical to the human algorithmSince systems must be programmed according to their own design constraints.

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Source: Info Bae

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