The Real Bottleneck in Physical AI and Robotics is Data The robotics industry has spent the past two years discovering that its hardest problem is no longer the robot. Compute is abundant, actuators are capable, and vision-language-action models can turn a set of demonstrations into a working manipulation policy. What remains scarce is the material those models learn from, namely clean, synchronised, multi-view recordings of a real machine compl…
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