Data Pipeline
Cosmos Curator-powered sensor data ingestion, filtering, annotation, and deduplication for multi-modal robot training data.
The Data Pipeline uses NVIDIA Cosmos Curator for end-to-end management of multi-modal sensor data. Ingest video, lidar, depth, and IMU data from robot platforms, then apply automated quality filtering, annotation, and deduplication to produce high-quality training datasets.
Multi-modal sensor data ingestion and curation.
What's Included
Multi-Modal Ingestion
Unified pipeline for video, lidar point clouds, depth maps, IMU telemetry, and proprioceptive sensor data.
Automated Quality Filtering
Cosmos Curator scores data quality, removes duplicates, and flags corrupt or out-of-distribution samples.
Annotation Pipeline
Semi-automated annotation with VLM-assisted labeling, active learning, and human-in-the-loop verification.
Data Augmentation
Synthetic data generation and domain randomization to expand training data coverage and diversity.
Version Control
Dataset versioning, lineage tracking, and reproducible training data snapshots.
Specs & Parameters
Use Cases
Fleet Data Collection
Aggregate sensor data from robot fleets in production for continuous learning and model improvement.
Simulation Data Pipeline
Generate and curate synthetic data from Isaac Sim for training data augmentation.
Classified Data Handling
Secure ingestion pipeline for classified environments with proper data handling protocols.
Ready for Data Pipeline?
Typical engagement: 1-2 weeks setup. From assessment to deployment, FORGE Kinetic handles the full pipeline.