aria-ark

Use when working with the Aria Client SDK — device pairing, recording, streaming, CLI commands (aria_gen2), Python SDK (aria.sdk_gen2), streaming visualization, multi-device time domain mapping, and device management. Use whenever the user mentions aria_gen2 CLI, aria.sdk_gen2, device pairing, recording start/stop, streaming from Aria glasses, or asks about controlling Aria Gen2 devices programmatically.

Use when working with Aria Machine Perception Services (MPS) — cloud-based processing of Aria VRS recordings for SLAM trajectories, hand tracking, semi-dense point clouds, and online calibration. Covers the aria_mps CLI, single and multi-sequence processing, output formats, data lifecycle, and loading MPS results with ProjectAriaTools. Use whenever the user mentions MPS, aria_mps, SLAM processing, cloud hand tracking, trajectory generation, or submitting VRS files for processing.

Use when working with the Aria Gen2 Pilot Dataset — a multi-participant egocentric dataset with raw VRS sensor data, MPS outputs, and additional algorithm results (ASR, heart rate, hand-object interaction, depth estimation, 3D detection). Covers the projectaria-gen2-pilot-dataset package, data loaders, visualizers, and tutorials. Use whenever the user mentions pilot dataset, Gen2 pilot dataset, loading pilot data, pilot data loader, pilot dataset visualizer, projectaria_gen2_pilot_dataset, or any task involving the Aria Gen2 Pilot Dataset recordings or algorithm outputs.

Use when working with projectaria_tools (PAT) — the official Python/C++ library for reading Aria VRS recordings, accessing sensor data, device calibration, loading MPS results (eye gaze, hand tracking, SLAM trajectory), time domain mapping for multi-device alignment, and data visualization. Use whenever the user imports projectaria_tools, works with Aria VRS files, or asks about Aria sensor data processing.

Use when working with VRS Health Check — validating Aria recording quality before MPS processing. Covers the run_vrs_health_check CLI, configurations, threshold checks, exit codes, overriding thresholds, and the Python API. Use whenever the user mentions VRS health check, recording validation, data quality checks, dropped frames, or pre-MPS validation.