Robotic Piece Picking

 

Automated picking of items for order fulfillment, replenishment, sorting, and consolidation in warehousing.

What is piece picking?

Optimizing put wall solutions for order fulfillment by Siemens - Teknics, using a Zivid 3D camera.

Piece picking involves high speed picking and placing of items in shelves and containers to fulfill customer orders. Large warehouses have dynamic inventories that contain a vast amount of products (SKUs) which vary in size, weight, shape and packaging. 

This task is hard to generalize for manipulation robots, which makes them prone to make mistakes—like picking the wrong item, dropping it, or accidentally grabbing more than one. 

A high-performance vision system is essential to automate this process successfully. It helps the robot accurately identify, grasp, and place a wide range of items at high speed and with a high success rate.

3D vision in piece picking

Capture Any Object

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High-resolution images and point clouds allow fast and accurate detection of a wide range of SKUs - even small, shiny, or transparent parts.

Reliable Manipulation

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Robust 3D vision enables correct pose estimation with reliable grasp and placement planning to prevent mispicks and collisions.

Fast Picking Cycles

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While the robot places an item, the vision system quickly identifies the next one, eliminating delays and maximizing picking speed.

Why use a Zivid camera?

High-Speed 3D Vision

Speed is critical in eCommerce. To achieve fast pick rates, piece picking robots need to plan and prepare its next task while executing the current one. Short camera capture time is required to not impede the cycle time of the robot.

A Zivid 3D camera can deliver complete, clean and correct point clouds and images together in just 150ms. This allows robots to work quickly, reliably and efficiently.

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Reliable Picking for All SKUs

Zivid cameras are industry proven, enabling real robots to fulfill orders consistently from item to item and robot to robot.

With leading 3D reconstruction algorithms and unmatched dynamic range, Zivid captures consistent high-quality point clouds in different environments, and across a wide range of materials—including black, shiny and transparent.

Read more in our piece picking tutorial →

Unified 2D + 3D Data

Images and point clouds are both essential to piece picking robots for perception and planning tasks, such as object segmentation, pose estimation and collision checking.

Zivid 3D cameras simplify robots by combining a native 2D camera and illumination with the 3D sensor. This eliminates the need for additional hardware and calibration, enabling faster setup and more reliable performance.

Why Are Zivid 3D Cameras Perfect for Piece Picking Automation?

Join our Application Engineers, Amy and Christian, as they explore the key requirements for effective piece picking automation. They'll show you how to get the highest quality data for your system using a Zivid 3D camera.

Other 3D vision solutions

 

❌ Capture time limits the robot’s cycle time.

❌ Does not work with all items in inventory.

❌ Struggles with transparent, black and shiny parts and packaging.

❌ Requires extra 2D cameras, illumination and cables.

❌ Lacks industrial robustness and is sensitive to ambient light conditions.

With Zivid 3D camera 

 

2D + 3D in 150 ms, allowing the robot to run at full speed without waiting.

✅ Can handle just about any inventory item regardless of shape, size and material.

✅ Produces clean, correct and complete point clouds even on black, shiny and transparent materials.

✅ All-in-one 2D + 3D + illumination.

✅ Delivers ultra-stable output with robust immunity to ambient light.

Customer Stories

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