Robotic Container Transfer Workflow for Scalable Warehouse Throughput

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Solution Overview

Problem

Automated robotic systems in warehouses face challenges in scalability and efficiency, as they are designed for maximum throughput that is difficult to exceed, leading to inefficiencies in item movement between containers.

Innovation Solution

A hybrid system that combines robotic pre-staging of items and human intervention, where robots position containers optimally and provide instructions to users through various interfaces, allowing efficient transfer of items between containers, with mechanisms like motion detection and confirmation systems to streamline the process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a completely automated robotic distribution system is designed to provide maximum throughput, then the system can handle a fixed amount of item movement, but it becomes very difficult to scale up to higher amounts of throughput

Engineering Contradiction:
ImprovethroughputVSAvoidscalability
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The system transitions from a static fully automated configuration to a dynamic hybrid configuration where robots and humans can flexibly collaborate. Robots handle tasks like bin relocation and positioning, while humans perform picking operations, allowing the system to adapt throughput capacity by adjusting the mix of automated and manual labor based on demand.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The robotic system performs multiple functions: it can autonomously move bins, position containers, and assist humans during picking operations. This multi-functionality allows the same robotic infrastructure to support both fully automated operations and hybrid operations, enabling scalability without requiring separate systems for different throughput levels.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If humans are involved in manual processes to transfer items between bins, then flexibility is maintained, but much time is wasted when humans must locate and verify the right bins for transferring objects

Engineering Contradiction:
ImproveflexibilityVSAvoidtime for locating and verifying bins
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system enables humans to perform picking operations without manually locating or verifying bin positions. Robots autonomously handle bin relocation and positioning tasks, bringing the correct bins to designated locations where humans can immediately begin picking. This self-service approach eliminates the time humans would otherwise spend searching for and verifying bin locations.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The robotic system acts as an intermediary between the storage system and human pickers. Instead of humans directly interacting with bins throughout the warehouse, robots serve as mediators that retrieve, position, and present the correct bins to humans, thereby eliminating the time humans would spend locating and verifying bin positions manually.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If robots are used to automate the item transfer process, then efficiency increases, but the system becomes less adaptable to varying throughput requirements

Engineering Contradiction:
ImproveefficiencyVSAvoidadaptability to throughput variations
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The system dynamically adjusts the balance between automated robotic operations and manual human operations based on throughput requirements. During high-demand periods, more robots can be deployed for bin handling and positioning. During lower-demand periods, the system can rely more on human operators, providing flexibility while maintaining efficiency through robotic assistance for repetitive tasks.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The item transfer process is segmented into distinct tasks: robots handle bin relocation, positioning, and container preparation, while humans focus on picking operations. This segmentation allows each component to operate at optimal efficiency while the overall system remains adaptable, as the robotic portion can be scaled independently from the human portion based on throughput needs.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11459176B2System and method of providing delivery of items from one container to another container
Publication Date: 2022.10.04 VECNA ROBOTICS INC
  • US11459176B2 patent drawing
  • US11459176B2 patent drawing
  • US11459176B2 patent drawing

AI summary

A method is provided for delivering source containers, via a mobile robotic container delivery system, to a first shelf and a second shelf, and in a particular order. Each source container has a position on one of the first shelf or the second shelf. The method includes delivering recipient containers on a floor level below the first shelf, wherein each container of the recipient containers is configured on a respective mobile robot, providing instructions to a user to retrieve an item from a first respective source container on one of the first shelf or the second shelf, moving a respective first recipient container on its respective first mobile robot out from underneath the first shelf to receive the item retrieved from the respective first source container and receiving a confirmation that the item has been retrieved from the respective first source container and placed appropriately.