Warehouse Robot Position Compensation for Shelf Item Retrieval

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Solution Overview

Problem

Existing warehouse robots lack the flexibility and accuracy to efficiently extract and store inventory materials from designated shelves, particularly in crowded environments with obstacles, and fail to handle position shifts of items.

Innovation Solution

A method for controlling a warehouse robot that involves receiving instructions, acquiring positioning information, adjusting its posture to compensate for position deviations, and using a material handling device to fetch items from designated shelves, including handling items in front and back rows to optimize space utilization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If a fully automated machine is used to extract inventory materials from shelves, then automation level is improved, but the ability to handle position shifts and navigate crowded environments deteriorates

Engineering Contradiction:
Improveautomation levelVSAvoidability to handle position shifts
Core Design Contradiction:
Extent of automationVSAdaptability or versatility

Solution Approach 1:

The system uses vision sensors and depth cameras to continuously monitor the positions of inventory materials and shelves. When position shifts are detected, the system automatically adjusts the robot's navigation path and material extraction coordinates in real-time, enabling the automated system to adapt to dynamic environmental changes without human intervention

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The robot system employs dynamic path planning algorithms that continuously recalculate optimal routes based on real-time obstacle detection and environmental changes. The material extraction mechanism also dynamically adjusts its positioning and grasping force based on feedback from sensors, allowing the automated system to respond flexibly to varying conditions

Inventive Principle:
Principle #15Dynamics

2Area of stationary object

If shelves are arranged in front and back rows to reduce warehouse area, then space utilization is improved, but the complexity of material extraction deteriorates

Engineering Contradiction:
Improvewarehouse areaVSAvoidmaterial extraction complexity
Core Design Contradiction:
Area of stationary objectVSDevice complexity

Solution Approach 1:

The system transitions from two-dimensional shelf navigation to three-dimensional spatial awareness by incorporating depth cameras and vertical position sensing. This enables the robot to accurately locate and extract materials from both front and back rows by calculating their three-dimensional coordinates, effectively managing the increased complexity through dimensional expansion

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The shelf space is segmented into distinct zones (front row, back row, different heights), with each zone having predefined access paths and extraction procedures. The system divides the complex extraction task into manageable segments based on material location, simplifying the overall process through structured decomposition

Inventive Principle:
Principle #1Segmentation

3Area of stationary object

If the robot navigates in a crowded warehouse filled with obstacles, then space utilization is improved, but navigation accuracy deteriorates

Engineering Contradiction:
Improvewarehouse space utilizationVSAvoidnavigation accuracy
Core Design Contradiction:
Area of stationary objectVSMeasurement precision

Solution Approach 1:

The navigation system continuously receives feedback from sensors detecting obstacles and position deviations. When obstacles are detected or position errors occur, the system automatically recalculates the optimal path and adjusts navigation parameters in real-time, maintaining high navigation accuracy despite the crowded environment

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The robot employs dynamic obstacle avoidance algorithms that adapt navigation paths based on real-time environmental sensing. The system dynamically adjusts speed, direction, and path planning to navigate through crowded areas while maintaining precise positioning accuracy for material extraction

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20250229984A1Method for controlling warehouse robot to store or retrieve inventory item
Publication Date: 2025.07.17 HAI ROBOTICS CO LTD
  • US20250229984A1 patent drawing
  • US20250229984A1 patent drawing
  • US20250229984A1 patent drawing

AI summary

A method for controlling a warehouse robot to store or retrieve an inventory item on a shelf. The method includes: receiving an instruction to transport the inventory item, obtaining a position of the inventory item from the received instruction, directing the warehouse robot to move to the location of the inventory item, detecting a position shift of the inventory item away from the obtained position based on the location and the orientation of the inventory item, adjusting a position of the warehouse robot to compensate for the position shift, retrieving the inventory item from storage, and transporting the inventory item to a destination.