Covariant Brain AI Picking System
Foundation model AI picking system that generalizes to any item without per-SKU programming.
The RightHand Robotics RightPick 3 is a piece-picking robot system featuring an intelligent gripper that combines suction and mechanical fingers for handling a wide variety of items. Its machine learning vision system identifies individual products in cluttered bins and determines the optimal grasp approach for each item.
RightPick 3 is designed for induction, kitting, sorting, and order fulfillment workflows. The system provides detailed analytics on pick success rates, throughput, and item-level performance, enabling continuous optimization of fulfillment processes.
| Pick Rate | 1,200 items/hour |
|---|---|
| Pick Accuracy | 98%+ |
| Gripper Type | Hybrid (suction + mechanical fingers) |
| Item Weight Range | 5g to 2.5 kg |
| Vision System | 3D + ML item detection |
| Arm | Industrial 6-axis robot arm |
| Analytics | RightPick Intelligence dashboard |
A quick summary of where this model performs well and where it falls short.
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