Autonomous Inventory Unit Handover Across Distributed Control Territories

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Solution Overview

Problem

Current automation systems in inventory management lack scalability and intelligence, leading to increased latency and limited adaptability in responding to inventory demands across multiple geographic sites, with robots being unaware of the inventory they carry and lacking the ability to adapt to varying conditions such as temperature, humidity, and light sensitivity.

Innovation Solution

A system and method for directing and controlling autonomous inventory storage units equipped with hardware processors, navigation, sensing, and control devices, allowing them to travel between control territories, negotiate dispatch routines, authenticate secure connections, and access different geographic areas based on defined goals and targets, enabling dynamic response to inventory demands.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If centralized control architecture is used to manage robot fleets, then coordination and control can be achieved, but scalability is limited and latency increases

Engineering Contradiction:
Improvecontrol coordinationVSAvoidlatency
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent divides the centralized control architecture into distributed control nodes, where each robot or robot group has its own controller that can make autonomous decisions. This segmentation reduces communication latency and enables parallel processing of control decisions across multiple sites simultaneously.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a hierarchical control dimension with multiple levels (centralized strategic planning, regional tactical control, and local operational autonomy). This multi-dimensional control structure allows high-level coordination while enabling low-level autonomous responses, reducing latency for time-critical operations.

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

2Productivity

If current automation systems are deployed for inventory management, then basic transportation tasks can be performed, but adaptability to varying conditions (temperature, humidity, light sensitivity) is limited

Engineering Contradiction:
Improveinventory transportVSAvoidenvironmental adaptability
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent incorporates sensors and monitoring systems that continuously track environmental conditions (temperature, humidity, light) and inventory status. This feedback enables robots to autonomously adjust their behavior and handling methods based on real-time conditions, improving adaptability while maintaining productivity.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent implements dynamic control capabilities where robots can adapt their operational parameters (speed, handling force, routing) in real-time based on environmental conditions and inventory requirements, transforming static automation into dynamic, condition-responsive systems.

Inventive Principle:
Principle #15Dynamics

3Ease of operation

If robots are equipped with basic transportation functionality, then goods can be moved between locations, but intelligence and awareness of carried inventory is lacking

Engineering Contradiction:
Improvetransport functionVSAvoidinventory awareness
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The patent integrates multiple functions into the robots including transportation, inventory monitoring, environmental sensing, and autonomous decision-making. This multi-functionality enables robots to be aware of their cargo and make intelligent decisions about handling and routing without complicating the basic transport operation.

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

4Loss of information

If centralized processing systems are used to track robots and inventory, then data collection can be achieved, but processing burden and implementation difficulty increase

Engineering Contradiction:
Improvetracking dataVSAvoidprocessing burden
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent enables robots and control nodes to autonomously track and manage their own inventory and operational data. Each node maintains local records and only communicates essential information to higher levels, distributing the processing burden and reducing the complexity of centralized data management.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12002006B2Systems, methods, computing platforms, and storage media for directing and controlling a supply chain control territory in an autonomous inventory management system
Publication Date: 2024.06.04 PRIME ROBOTICS INC
  • US12002006B2 patent drawing
  • US12002006B2 patent drawing
  • US12002006B2 patent drawing

AI summary

Systems, methods, computing platforms, and storage media for directing and controlling an autonomous storage unit in an autonomous inventory management system are disclosed. Exemplary implementations may negotiate, by a first controller, a dispatch routine for the storage unit with a transport controller and a second controller, assign a token to the storage unit and the second controller, the token providing an identification signal between the storage unit and the second controller, register a departure event with the first controller, provide a secure connection between the storage unit and the second controller, exchange the token between the storage unit and the second controller, authenticate the secure connection based on exchanging the token, and give the storage unit permission to access a control territory assigned to the second controller.