Data & Benchmarks

Trajectory Dataset

A trajectory dataset is a collection of recorded robot episodes, each pairing time-aligned observations, such as camera images, proprioception, and language annotations, with the actions taken, used to train and evaluate policies. Major examples include Open X-Embodiment, which aggregates over a million trajectories from dozens of robot types, DROID for diverse in-the-wild manipulation, and BridgeData. Standardized formats such as RLDS and LeRobot ease interchange across labs.

Why it matters for physical AI

Scale and diversity of trajectory data are the primary drivers of robot foundation model capability, and the field's scarcity of such data relative to text and images is the central bottleneck of physical AI.