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║  SENSOR_NET // MULTI-SENSOR FUSION PIPELINE  ║
║  STATUS: ONLINE                               ║
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6-AXIS IMU · GAZE TRACKING · DEPTH MAPPING

Website · Mission Control

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▌ SYSTEM ROLE

SENSOR_NET is the synchronization and fusion layer that combines all sensor streams from the SPECTRA-X1 rig into temporally aligned, calibrated data packages ready for AI training.

▌ STATUS

PARAMETER	VALUE
Maturity	PRODUCTION
Sensors	6-AXIS IMU + GAZE + DEPTH
Sync Accuracy	< 1ms TEMPORAL ALIGNMENT
Output	CALIBRATED MULTI-MODAL STREAMS

▌ SENSOR STACK

┌─────────────────────────────────────────┐
│ VISUAL .......... 4K HDR STEREO VIDEO   │
│ INERTIAL ........ 6-AXIS IMU @ 1000Hz   │
│ GAZE ............ EYE TRACKING @ 120Hz  │
│ DEPTH ........... STRUCTURED LIGHT      │
│ TEMPORAL ........ HARDWARE SYNC < 1ms   │
│ SPATIAL ......... EXTRINSIC CALIBRATION │
└─────────────────────────────────────────┘

▌ FUSION PIPELINE

IMU_RAW ──────┐
GAZE_RAW ─────┤
DEPTH_RAW ────┼──→ TEMPORAL_ALIGN → CALIBRATE → FUSE → OUTPUT
VIDEO_RAW ────┤
AUDIO_RAW ────┘

▌ MODULE MAP

sensor-fusion/
├── calibration/    # Sensor calibration routines
├── sync/           # Temporal synchronization
├── fusion/         # Multi-modal fusion algorithms
├── validation/     # Data quality checks
└── docs/           # Technical documentation

▌ CITATION

@misc{robotflowlabs2026sensorfusion,
  title={SENSOR_NET: Multi-Sensor Fusion for Embodied AI Data Capture},
  author={Robot Flow Labs},
  year={2026},
  url={https://robotflowlabs.com}
}

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ROBOT FLOW LABS // SENSOR_NET // ONLINE