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How do We Quantify Progress in Robotics? - by Chris Paxton

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Determining which robotics advances are real can be incredibly difficult

How do We Quantify Progress in Robotics? Determining which robotics advances are real can be incredibly difficult Chris Paxton Jan 29, 2026 30 4 7 Share Image from Gemini The release of the Imagenet dataset was a landmark moment for the nascent field of deep learning. This collection of what is now 14,197,122 images covering more than 100,000 concepts (“synonym sets” or synsets) was key in driving and assessing early progress in deep learning, in part because it signaled the ongoing shift from “better algorithms” to “better data,” which in turn unlocked much stronger algorithms. Quintessential

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