Xiaomi-Robotics-1 Shows that More Data Beats Bigger Models when Training Robots to Move
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Xiaomi-Robotics-1 shows that more data beats bigger models when training robots to move
Xiaomi trained Xiaomi-Robotics-1 on more than 100,000 hours of motion data collected by people using camera-equipped handheld grippers rather than robots. Adding data improved performance far more than increasing model size. The gains haven't plateaued, though absolute success rates remain low. The article Xiaomi-Robotics-1 shows that more data beats bigger models when training robots to move appeared first on The Decoder.
Xiaomi trains his robot AI model Xiaomi-Robotics-1 with more than 100,000 hours of movement data, collected not by robot, but by portable hand grippers. The central finding: more data bring much more than larger models. The team does not yet see a saturation point, but the absolute success rates remain low. The article Xiaomi shows: Robot AI needs more data above all, no more computing power first appeared on The Decoder.
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