Robot Localization Signals for Targeted Wireless Coordination

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Solution Overview

Problem

Autonomous mobile robots lack the ability to determine which particular robot among a plurality of proximate robots is associated with a specific wireless message, leading to inefficiencies and potential collisions due to the inability to exchange specifically addressed messages.

Innovation Solution

The implementation of a localization system that uses pulsed visible or infrared light signals to identify and localize robots, allowing them to determine the direction and identification code of nearby robots, enabling targeted wireless communication and improved coordination.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If mobile robots use wireless communication to exchange messages, then coordination and cooperation between robots can be improved, but robots cannot determine which specific robot is associated with which message, leading to communication inefficiency

Engineering Contradiction:
Improvecoordination efficiencyVSAvoidmessage recipient identification
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The patent introduces an optical signal (laser or LED) as an intermediary carrier to transmit robot identification information. This optical signal serves as a mediator between the robot's wireless communication and the receiving robot's message processing, enabling precise identification of message recipients through optical detection and triangulation methods

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces traditional radio-frequency wireless communication with an optical communication system using lasers or LEDs. This substitution enables precise directional transmission and reception of signals, allowing robots to determine the spatial location and identity of communicating partners through optical detection and angle calculation

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If mobile robots rely on pre-programmed routes and basic collision avoidance, then system complexity is reduced, but robots cannot dynamically coordinate with multiple proximate robots, leading to potential collisions and reduced efficiency

Engineering Contradiction:
Improvenavigation system complexityVSAvoidcollision avoidance reliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent implements a feedback mechanism where robots continuously emit and detect optical signals to determine the positions and identities of proximate robots. This real-time feedback enables dynamic route adjustment and coordinated navigation, allowing robots to adapt to changing environments and avoid collisions through continuous spatial awareness

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent enables robots to perform preliminary identification and localization of proximate robots through optical signal detection before executing navigation decisions. By pre-establishing spatial awareness and robot identification, systems can proactively plan collision-free paths and coordinate movements without requiring complex real-time computation during critical moments

Inventive Principle:
Principle #10Preliminary action

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

This solution enhances the cooperation and efficiency of autonomous robots by enabling them to specifically address messages to individual robots, reducing collisions and improving task performance.

Implementation Method 1

a localization signal including a plurality of pulses of visible or infrared light

Methodology Applied
Scientific EffectLight Emitting Diode: Light Emitting Diode

Data Source

PatentUS11554479B1Autonomous navigation and collaboration of mobile robots in 5G/6G
Publication Date: 2023.01.17 THE MASSENGILL FAMILY TRUST
  • US11554479B1 patent drawing
  • US11554479B1 patent drawing
  • US11554479B1 patent drawing

AI summary

5G and especially 6G will enable a multitude of applications for fixed-position and mobile wireless task-devices (“robots”). Most of these applications are based on the assumption that the robots know, or can determine, the locations and wireless identities of other robots in proximity, but this is an unsolved problem. Procedures are provided herein for an arbitrarily large number of fixed-position and mobile robots to autonomously identify each other, determine their locations with speed and precision substantially beyond that provided by navigation satellites, and then to collaborate in performing their tasks, while avoiding interference and collisions. Examples are provided in the fields of automated agriculture, remote oil-spill mitigation, autonomous fire-fighting, hospital management, construction site coordination, manufacturing (including fully autonomous manufacturing), major product warehousing, airport control, and emergency vehicle access.