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HandelBot Helps Two-Handed Robots Learn Piano
HandelBot helps robots play the piano. I'd be more impressed if something was developed for humans like myself to easily play the piano, but I'll take what I can get.
A research team from Stanford and Amazon FAR just dropped HandelBot, the first learning-based system to crack bimanual piano playing in the real world.
Piano is a nightmare for robots because it needs millimeter-level precision and simulation alone can’t bridge that final gap.
The team used simulation for the basic structure and then refined the movements using Residual RL on the actual hardware.
The efficiency is wild, it mastered Twinkle Twinkle in 30 minutes and Fur Elise in 1 hour with only 100 trajectories.
We are still waiting for hardware that can match a human pianist’s speed, but this leap in dexterous control is a massive win for embodied AI.
The robot pianist from Virtuoso, by Herbert Goldstone, published by Magazine of Fantasy and Science Fiction in 1953, comes to mind:
"Mozart? Chopin?" The duralloy sphere that was Rollo's head shone stark and featureless, its immediate surface unbroken but for twin vision lenses. "The terms are not included in my memory banks."
"No, not for yours, Rollo," the Maestro said softly. "Mozart and Chopin are not for vacuum tubes and fuses and copper wire. They are for flesh and blood and human tears..."
"I should like to be taught how to produce these notes on the piano. I request that you feed the correlation between those dots and the levers of the panel into my memory banks."
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