Part 4/13:
Tesla's approach to data involves structured, layered, temporal datasets derived directly from sensors—cameras, IMUs, touch sensors, and others. Whether in a vehicle navigating city streets or a humanoid robot performing tasks, the raw data is packaged uniformly, largely based on time series data at specific frame rates (e.g., 30 or 60 Hz). This standardization facilitates smoother data flow across system components.
The pipeline encompasses data collection, pre-processing, simulation, training, and inference. Philbert explains that the same compressed, layered datasets used for FSD training are also applicable for Optimus, enabling a common foundation for model development.