Berkshire Grey

Berkshire Grey Robotic Pick Cell

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Our Verdict: Enterprise-grade robotic picking that delivers near-human accuracy with significantly higher throughput.

The Berkshire Grey Robotic Pick Cell is a fully autonomous pick-and-pack solution that combines advanced computer vision, machine learning, and multi-modal grasping to handle a vast range of SKUs without manual intervention. It identifies, picks, and places items at speeds exceeding human operators.

Designed for integration into existing sortation and fulfillment workflows, the system continuously learns and improves its grasp strategies. Its modular design allows facilities to scale from a single cell to dozens, adapting to seasonal demand fluctuations effortlessly.

High-volume order fulfillment Parcel sortation centers Grocery e-commerce picking

Specifications

Pick Rate 900+ picks/hour
SKU Compatibility 10,000+ item types
Grasp Types Suction, pinch, multi-finger
Vision System 3D + RGB camera array
Pick Accuracy 99.5%+
Footprint 4m x 3m per cell

Pros & Cons

A quick summary of where this model performs well and where it falls short.

Pros

  • Handles thousands of different SKUs autonomously
  • Self-learning grasping improves over time
  • Modular scaling for seasonal demand
  • 99.5%+ pick accuracy matches human performance

Cons

  • Very high capital cost per cell
  • Complex integration with existing WMS
  • Not suited for very large or irregularly shaped items
  • Requires ongoing AI model tuning

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Berkshire Grey Robotic Pick Cell
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