Abracadabra!
NVIDIA's research team has pulled off a magic trick of their own, creating an AI agent that can teach robots a whole host of complex skills.
This isn't your average rabbit-out-of-a-hat trick, though - we're talking about training a robotic hand to perform rapid pen-spinning tricks as well as a human can. Now that's a showstopper!
This mesmerising feat, demonstrated in the video below, is just one of nearly 30 tasks that robots have mastered thanks to Eureka. This clever AI agent autonomously writes reward algorithms to train bots. From opening drawers and cabinets to tossing and catching balls, and even manipulating scissors, Eureka has been a game-changer.
But how does it work? Eureka taps into the GPT-4 Large Language Model and generative AI to write software code that rewards robots for reinforcement learning. It doesn't need task-specific prompting or predefined reward templates, and it can readily incorporate human feedback to modify its rewards for results more accurately aligned with a developer's vision.
The best part? Eureka-generated reward programs outperform expert human-written ones on more than 80% of tasks, leading to an average performance improvement of over 50% for the bots.
Eureka isn't just for one type of robot, either. It's taught all kinds of robots - from quadruped and bipedal to quadrotor, dexterous hands, cobot arms and more - to accomplish a wide range of tasks.
NVIDIA's Eureka is a real game-changer in the world of robotics, and we can't wait to see what this AI magician pulls out of its hat next. So, prepare to be amazed - the future of robotics is here, and it's more exciting than ever!
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