AI Teaching a Robot Hand to Twirl a Pen

See the astonishing outcome of AI instructing a robot ‘hand’ to master pen twirling – surpassing human abilities

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Scientists are teaching robots to do more things using a kind of learning that takes a long time. They’re using big AI helpers to make it faster, and it’s making robots really good at things, even if it’s just on a computer

NVIDIA Research used AI from OpenAI, GPT-4, to teach a computerised robot hand to do almost 30 tricky tasks, like throwing a ball and spinning a pen, which is pretty amazing!

NVIDIA made a smart computer called Eureka that uses GPT-4 to write its own learning code. It doesn’t need special instructions or templates; it just starts learning and listens to what people say to get better.

A person from NVIDIA called Jim Fan said Eureka is special because it uses smart language models and fast computer simulations. They think Eureka can help control robots and make realistic animations.

NVIDIA showed in a video that a robot hand trained by Eureka can do cool pen tricks just as well as or even better than really skilled people.

Eureka, the smart computer, tests its learning in a special program and then looks at the data to make itself even better. It can make different robot hands that can use scissors, spin pens, and open cabinets in a computer program that acts like the real world.

Eureka’s way of learning is not just good; it’s often better than what people make. In their research paper, they showed that Eureka’s programs were better than human-made ones in more than 80% of the tasks. This means they made the robot hands work about 50% better in the computer simulations.

Reinforcement learning has done some amazing things in the last ten years, but there are still problems to solve, like figuring out what rewards to give, which can be tricky.

Anima Anandkumar, who works on AI research at NVIDIA and helped write the Eureka paper, said that Eureka is a start in making new methods that use both generating ideas and learning from rewards to solve tough problems.

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