Agriculture & Food
Produce sorting, packaging, quality control — with the right data for delicate handling.
Industry Context
Agriculture and food processing deal with natural variation: size, shape, ripeness, defects. Rigid automation often damages product or rejects good items. Learning-based systems can adapt — but they need data that captures this variation and teaches safe, gentle handling.
What We Offer
- Data Collection — Demonstrations for picking, sorting, grading, and packing. Diverse object poses, lighting, and defect cases. Tactile data where force feedback matters.
- Tactile Sensing (PaXini, T1 Glove) — Spatially distributed force sensing for "soft touch" policies. Learn when to grip harder, when to release, and how to avoid bruising.
- OpenArm & Platforms — Modular arms suitable for packhouses and processing lines. Data-centric for continuous model updates.
- Fearless Data Platform — Log mis-sorts, damaged product, and throughput gaps. Replay and retrain.
Value We Deliver
- Reduced waste — Gentle handling preserves quality. Fewer false rejects.
- Higher yield — Policies that handle edge cases (odd shapes, clustered items) without manual tuning.
- Seasonal adaptation — New varieties, sizes, and pack formats with minimal retraining.
- Labor scaling — Automate repetitive sorting and packing; keep humans for quality oversight.
Example Use Cases
- Fruit and vegetable sorting: apples, tomatoes, berries, leafy greens
- Grading and defect removal
- Packaging: clamshells, bags, boxes
- Meat and seafood: cutting, portioning (with appropriate tooling)