Warehouse Robot Coordination for Interference-Aware Order Fulfillment

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Solution Overview

Problem

Existing order fulfillment systems lack efficiency and flexibility in transporting and manipulating inventory to fulfill orders, particularly in dynamic warehouse environments with varying automation configurations.

Innovation Solution

A system and method utilizing robots, including actor and order robots, to receive orders, plan optimal paths, and execute tasks such as picking, moving, and positioning inventory items, with integrated software for path optimization and obstacle avoidance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional order fulfillment systems are used, then system simplicity is maintained, but order fulfillment efficiency and flexibility are insufficient

Engineering Contradiction:
Improveorder fulfillment efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system divides the order fulfillment process into distinct robotic roles: actor robots for picking and manipulating items, order robots for collecting and transporting orders, and inventory robots for storage and retrieval. This segmentation allows each robot type to specialize in specific tasks, improving overall efficiency while maintaining manageable system complexity through modular design

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements universal communication protocols and control interfaces that allow different robot types to work together seamlessly. The server system can dynamically assign tasks to any available robot based on current workload and capabilities, enabling the system to adapt to varying order volumes and complexities without requiring dedicated hardware for each function

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

2Adaptability or versatility

If fixed automation configurations are used, then system stability is maintained, but adaptability to dynamic warehouse environments is reduced

Engineering Contradiction:
Improveenvironmental adaptabilityVSAvoidsystem stability
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The system employs dynamic task assignment and path planning algorithms that allow robots to adapt their behavior in real-time based on changing warehouse conditions. The server receives continuous position information from robots and dynamically adjusts task allocation and navigation paths to optimize performance while maintaining system coordination and stability

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent implements continuous feedback loops where robots communicate their position, status, and completion information to the server. The server uses this feedback to dynamically adjust task assignments, recalculate optimal paths, and coordinate robot movements, ensuring the system adapts to dynamic environments while maintaining reliable operation through centralized control

Inventive Principle:
Principle #23Feedback

3Productivity

If multiple robots operate simultaneously, then order fulfillment capacity increases, but interference between robots increases

Engineering Contradiction:
Improveorder fulfillment capacityVSAvoidrobot-to-robot interference
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The server acts as an intermediary that coordinates all robot activities. It receives position information from all robots, calculates optimal paths that avoid collisions, and assigns tasks in a way that minimizes interference. This centralized mediation allows multiple robots to operate simultaneously at high capacity while maintaining safe distances and coordinated movements

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary path planning and task assignment before robots begin their operations. The server calculates optimal trajectories and assigns tasks in advance, ensuring that robots move along pre-coordinated paths that minimize interference. This preliminary coordination allows high-density robot deployment while preventing collisions and inefficient interactions

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP3265884B1System and method for order fulfillment using robots
Publication Date: 2025.07.02 FETCH ROBOTICS INC
  • EP3265884B1 patent drawingFigure 1A
  • EP3265884B1 patent drawingFigure 1B
  • EP3265884B1 patent drawingFigure 2A

AI summary

A system for order fulfillment using one or more robots includes: a server configured to receive an order comprising an order item; inventory storage operably connected to the server, the inventory storage comprising order items; an actor robot operably connected to and selected by the server, the actor robot configured to perform one or more of picking the order item from inventory storage, moving the order item, and positioning the order item; and an order robot operably connected to the server, the order robot configured to collect the order item, wherein the order item is positioned by the actor robot so as to be accessible to the order robot, so as to perform order fulfillment using one or more robots.