Congrats to Christine and her team!
Looking forward to seeing how crypto rails help fulfill the robotics data needs.
For embodied AI to reach its GPT Moment, the data gap must first be crossed. Axis Robotics strives to build the compounding data engine for Physical AI.
We have built an end-to-end data pipeline covering simulation data, egocentric data, model pre-training, and DAgger post-training.
Axis transforms embodied AI data collection from a static, one-way and siloed workflow into dynamic, cyclic cluster-based collection and processing.
Human demonstration data feeds the policy; gaps exposed flow back to humans operators for supplementary collection and iteration, enabling continuous dynamic dataset updates.
We’ve got plenty to-dos on our time table, let’s keep building during bear
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