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What if I advised you that a robot can make you a cup of coffee simply by watching a video of a human doing it?
It’s nearly laborious to imagine, nevertheless it really occurred.
Thanks to a breakthrough in synthetic intelligence, humanoid robots can now watch and be taught from people, identical to we do.
Humanoid Figure-01 robot (Figure)
The firm behind the coffee-making robot
The firm behind this innovation is Figure, which has developed a full-body humanoid robot known as Figure-01. This AI robot can stroll, speak, and work together with its environment, and it might additionally be taught new abilities by watching videos.
Humanoid Figure-01 robot (Figure)
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How the robot was in a position to make a cup of coffee
Figure just lately demonstrated how Figure-01 can make coffee utilizing a Keurig machine. The demonstration passed off at Figure’s headquarters in San Francisco, the place a human requested Figure-01 to make him a coffee. The robot responded with a cheerful “Sure, I can do that!” and proceeded to the Keurig machine.
Humanoid Figure-01 robot making coffee (Figure)
The robot had beforehand watched a video of a human making coffee utilizing the identical machine, and it had learned how to mimic the human’s actions. It used its imaginative and prescient system to acknowledge the machine and its components, and its movement planning system to coordinate its actions.
It opened the hatch, inserted the pod, closed the hatch, and pressed the button, all by itself. It then waited for the coffee to be prepared, and let the human seize the complete cup out of the machine himself.
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Humanoid Figure-01 robot making coffee (Figure)
The complete course of took lower than a minute, and the robot didn’t want any human help or steering. It was in a position to carry out the duty autonomously, utilizing solely the video as a reference. This is an instance of end-to-end AI, the place the neural networks take video in and trajectories out.
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Humanoid Figure-01 robot making coffee (Figure)
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What this means for AI and robotics
The demonstration was not solely spectacular but in addition important and impactful. It confirmed that Figure-01 has added a brand new autonomous motion to its library, which might be transferred to another Figure robot operating on the identical system by way of swarm studying.
This signifies that if one robot learns one thing new, all the opposite robots can be taught it, too, with out having to watch the video themselves. This makes the educational course of quicker and extra environment friendly and allows the robots to share their information and abilities with one another.
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Humanoid Figure-01 robot making coffee (Figure)
The demonstration additionally confirmed that this studying course of may very well be used throughout a broad vary of various duties and that Figure-01 can be taught to do something from peeling bananas to utilizing energy instruments to making artwork, all by watching videos. The robot also can be taught not solely what to do but in addition why and the way to do it and the way to adapt to completely different conditions and contexts.
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What’s subsequent for Figure-01 and video studying?
The demonstration was just the start. Figure says that 01 can be taught to do something by watching videos and that it’s continuously bettering its capabilities and efficiency. The firm has massive plans for the long run, and it needs to make its robot extra versatile, artistic, and collaborative.
Humanoid Figure-01 robot (Figure)
Kurt’s key takeaways
Imagine if Figure-01 may quickly go discover a cup within the kitchen, test that the Keurig’s plugged in and has loads of water in it, make the press-button coffee, and produce it to your desk with out spilling it, all by watching videos and utilizing its strolling and language capabilities. These are among the prospects and purposes of video studying for robots, and they don’t seem to be removed from actuality.
Does this sound like progress or just terrifying the place this might lead? What would you want to educate a robot by displaying it a video? Let us know by writing us at Cyberguy.com/Contact.
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