Warehouse Robot Fleet Coordination Across Mixed Manufacturers
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Solution Overview
Problem
Conventional robotic vehicles in warehouses operate in siloed environments, limiting their ability to communicate and collaborate with vehicles from different manufacturers, which hampers efficient operation and optimization of product retrieval tasks.
Innovation Solution
A software-enabled system that interfaces with the API of each robotic vehicle from multiple manufacturers, continuously assessing and optimizing the performance of robotic vehicles, human workers, and material handling equipment (MHE) to achieve hive efficiency and dynamic behavior across the warehouse.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If robotic vehicles from multiple manufacturers are employed in a warehouse, then the system can handle diverse task requirements and zones, but the vehicles cannot effectively communicate with each other due to differing manufacturers and software capabilities
Solution Approach 1:
The patent introduces a central control system that acts as an intermediary between robotic vehicles from different manufacturers. This control system translates and standardizes communication protocols, enabling vehicles with differing software capabilities to exchange information effectively. The intermediary resolves the communication barrier by converting manufacturer-specific protocols into a universal format that all vehicles can understand.
Solution Approach 2:
The patent implements a universal communication interface and standardized data exchange format that enables robotic vehicles from multiple manufacturers to interact within a unified system. This universal layer allows vehicles to perform diverse tasks across different zones while maintaining seamless communication, effectively making the entire fleet multi-functional despite individual vehicle specialization.
2Productivity
If robotic vehicles are programmed to do only specific functions for which they are designed, then they provide efficiencies for which they are designed, but they are limited to working on tasks and in limited zones for which they are designed and programmed
Solution Approach 1:
The patent implements dynamic task assignment and vehicle deployment where robotic vehicles can be reassigned to different tasks and zones based on real-time warehouse needs. The system dynamically adjusts vehicle functions beyond their original design specifications by providing real-time software updates and reconfiguration capabilities, allowing vehicles to adapt to changing operational requirements while maintaining their core efficiency.
Solution Approach 2:
The patent creates a multi-functional system where robotic vehicles can perform multiple task types across different warehouse zones through centralized control and software flexibility. The system enables vehicles designed for specific functions to be deployed in different zones and assigned to various tasks by providing a universal control layer that overrides manufacturer-specific limitations.
3Productivity
If conventional robotic vehicles operate in siloed environments with differing manufacturers and software, then they can be independently optimized for their specific functions, but significant problems occur in achieving the most efficient operation of the fleet
Solution Approach 1:
The patent merges individually optimized robotic vehicles from different manufacturers into a unified fleet management system. By combining vehicles under centralized control with standardized communication protocols, the system maintains the individual efficiency advantages of each vehicle type while achieving coordinated fleet-wide optimization that reduces overall operational complexity.
Data Source
AI summary
A computer-implemented system for maximizing warehouse operations is provided. Employing software operating to compare different combinations of robotic vehicles, human workers, and material handling equipment (MHE), the system determines an optimum combination of a number and type of robotic vehicle and any MHE changes to work in the most effective manner in combination with human workers. Virtual simulations of actual movements of the robotic vehicles, humans, and MHE changes in a warehouse may be employed on an ongoing basis the continually maximize efficiency.