System and method for picking industrial infrastructure from dynamically sized stacks

AMRs use a rotated 2D LiDAR scanner and height estimation algorithm to dynamically determine the height of stacked pallets, addressing safety concerns by accurately identifying the topmost pallet.

WO2026128422A1 Publication Date: 2026-06-18SEEGRID CORP
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
SEEGRID CORP
Filing Date
2025-12-09
Publication Date
2026-06-18

AI Technical Summary

⚠Technical Problem

Autonomous mobile robots (AMRs) face challenges in accurately determining the height of stacked pallets with unknown heights, leading to potential safety concerns such as picking up multiple pallets at once due to reliance on unreliable warehouse management system inputs or human interactions.

⚗Method used

Equipping AMRs with a payload presence sensor, such as a rotated 2D LiDAR scanner, to perform a vertical scan and estimate the height of stacked pallets using a height stack estimation algorithm, combined with application logic to verify and engage with the topmost pallet within a tolerance.

🎯Benefits of technology

Enables dynamic, real-time sensing of the environment, ensuring accurate pallet detection and preventing safety issues by reliably identifying the topmost pallet in the stack.

✦ Generated by Eureka AI based on patent content.

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Abstract

A robotic vehicle, such as an autonomous mobile robot (AMR), is provided, comprising a chassis; a navigation system configured to navigate the AMR to stacked infrastructures; at least one sensor including a payload presence sensor configured to perform a vertical scan of the stacked infrastructures; and at least one processor. The at least one processor is configured to estimate a height of the stacked infrastructures using data generated by the payload presence sensor and estimate a height of a target infrastructure using the estimated height of the stacked infrastructures and expected infrastructure heights.
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