EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 31·5 min read
Launch HN: Hebbian Robotics (YC S26) – Build scalable robotics data pipelines
TL;DR
Hebbian Robotics has launched HFlow, an open source SDK designed to streamline the creation of scalable multimodal data pipelines for robotics and physical AI. This tool addresses common data processing bottlenecks, making advanced data practices accessible to teams of all sizes.
✦ Why It Matters
Start using HFlow today to enhance your robotics data pipeline and improve data quality control.
Key Takeaways
- Implement built-in checks to ensure data quality.
- Use MCAP format for efficient data storage and synchronization.
- Integrate existing Python code without rewriting for proprietary frameworks.
- Contribute to the open-source community to shape future robotics tools.
How It Works
HFlow orchestrates data processing through a four-stage lifecycle: collection, ingestion, curation, and delivery. It allows users to define their processing steps as Python functions, which can be easily integrated into the pipeline.
The SDK generates Airflow Directed Acyclic Graphs (DAGs) for task scheduling, providing a visual representation of the pipeline's structure. Each processed episode is stamped with metadata that records its provenance, making it easy to trace back to the source of any issues.