Passive RFID Tag Placement for Autonomous Task Localization

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

There is a need for improved environmental input data to enhance the accuracy and functioning of cybernetic command and control over autonomous systems, particularly in peer-to-peer cybernetic control systems that enable joint task performance by autonomous appliances.

Innovation Solution

The implementation of a cybernetic control system utilizing RFID technology and AI/ML to enable autonomous appliances, such as robots, to communicate with infrastructure and product RFID tags, adapt behavior based on read information, and collaborate to complete joint tasks efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If passive RFID tags are used for autonomous appliance communication, then energy consumption is reduced and system simplicity is improved, but measurement precision and reliability of task coordination data are worsened

Engineering Contradiction:
Improveenergy consumptionVSAvoidtask coordination data precision
Core Design Contradiction:
Use of energy by moving objectVSMeasurement precision

Solution Approach 1:

The system pre-assigns joint tasks to autonomous appliances before execution. The server computer determines task allocation in advance, and RFID tags are pre-configured with task-related information. This preliminary action allows passive RFID tags to provide sufficient coordination data without requiring active power sources, resolving the contradiction between energy savings and data precision.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback loops where autonomous appliances report task progress and status information back to the server computer via RFID communication. The server computer monitors task completion status and adjusts task allocation based on feedback from appliances. This feedback mechanism ensures reliable task coordination using passive RFID tags, maintaining data precision while minimizing energy consumption.

Inventive Principle:
Principle #23Feedback

2Device complexity

If passive RFID tags are used for autonomous appliance communication, then device complexity is reduced, but reliability of peer-to-peer cybernetic control is worsened

Engineering Contradiction:
Improvesystem complexityVSAvoidcontrol system reliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The server computer acts as an intermediary between autonomous appliances, coordinating task allocation and monitoring task completion. Instead of requiring direct peer-to-peer communication between appliances, the server computer mediates all control decisions. This intermediary approach simplifies the overall system architecture while maintaining reliable control through centralized coordination using passive RFID tags.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The passive RFID tags serve multiple functions: identification, task information storage, and communication medium between appliances and the server computer. This multi-functionality reduces device complexity by eliminating the need for separate active communication modules while maintaining reliable control through the universal RFID interface.

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

3Productivity

If RFID tag readers are integrated into autonomous appliances, then task coordination efficiency is improved, but device complexity and manufacturing cost are worsened

Engineering Contradiction:
Improvetask coordination efficiencyVSAvoidappliance structure complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

Autonomous appliances autonomously read RFID tags and report task completion status without requiring complex integrated communication systems. The appliances use simple RFID readers to retrieve task information from tags and report back to the server computer. This self-service approach improves task coordination efficiency while minimizing appliance complexity by leveraging the existing RFID infrastructure.

Inventive Principle:
Principle #25Self-service

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enhances the efficiency and accuracy of autonomous system operations by enabling dynamic task adaptation and precision control through collaborative behavior adjustments based on RFID tag data, reducing accidents and improving task completion.

Implementation Method 1

The RFID tag reader is configured to emit an RF signal that provides ambient RF power to at least one of the infrastructure RFID tags and the product RFID tags

Methodology Applied
Scientific EffectElectromagnetic Induction: Electromagnetic Induction

Data Source

PatentEP4593370A1Passive RFID tag placement for cybernetic command and control via localization
Publication Date: 2025.07.30 T MOBILE INNOVATIONS LLC
  • EP4593370A1 patent drawingFigure 1
  • EP4593370A1 patent drawingFigure 2
  • EP4593370A1 patent drawingFigure 3A

AI summary

An autonomous appliance configured to operate in a facility. The autonomous appliance includes a chassis including a motor configured to move the autonomous appliance within the facility and a radio frequency identification (RFID) tag reader configured to communicate with infrastructure RFID tags attached to fixed infrastructure and with product RFID tags attached to product containers. The RFID tag reader emits an RF signal that provides ambient RF power to the infrastructure RFID tags and the product RFID tags. The autonomous appliance includes at least one actuator configured to manipulate the product containers and a controller coupled to the RFID tag reader and configured to read information from the infrastructure RFID tags and the product RFID tags. The controller adapts the behavior of the autonomous appliance relative to a first product container based on the read information.