Autonomous Fulfillment Robots With Real-Time Error Detection Interface

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Solution Overview

Problem

Autonomous computing systems face challenges in detecting and correcting errors during tasks, such as incorrect object retrieval or deposition, due to the lack of effective real-time monitoring and communication mechanisms.

Innovation Solution

A system comprising autonomous robot devices equipped with sensors and computing systems that detect errors through attribute detection and establish an interface for operator communication, allowing for real-time correction of tasks such as incorrect object quantities, types, or damage, using a network of sensors and computing systems to manage and direct the robots.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If autonomous robot devices perform tasks independently without human intervention, then productivity and automation extent are improved, but reliability deteriorates due to undetected errors in task execution

Engineering Contradiction:
Improveautonomous task executionVSAvoiderror detection capability
Core Design Contradiction:
Extent of automationVSReliability

Solution Approach 1:

The patent implements a feedback mechanism where sensors continuously monitor robot device operations and transmit data to computing systems. The computing systems analyze this feedback data to detect errors in task execution, such as incorrect object retrieval or deposition, enabling the autonomous system to identify and correct its own mistakes without human intervention.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent introduces sensors and computing systems as intermediary components between the autonomous robot devices and the task execution process. These intermediaries monitor robot operations, detect errors, and facilitate communication between the autonomous devices and operators, thereby enhancing reliability without reducing automation extent.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If sensors and monitoring systems are added to detect errors in real-time, then reliability is improved, but device complexity increases

Engineering Contradiction:
Improveerror detection accuracyVSAvoidsystem architecture
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent designs sensors and computing systems to serve multiple functions: they monitor robot operations, detect errors, track object attributes, and facilitate communication. This multi-functionality reduces the need for separate dedicated components for each function, thereby improving reliability while minimizing the increase in device complexity.

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

3Reliability

If real-time error detection and correction mechanisms are implemented, then reliability is improved, but loss of time in error correction occurs

Engineering Contradiction:
Improvetask execution accuracyVSAvoiderror correction time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements preliminary error detection through continuous sensor monitoring and real-time data analysis. By detecting errors as they occur during task execution rather than after completion, the system can initiate correction actions immediately, minimizing the time lost to error correction while maintaining high reliability.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12076864B2Distributed autonomous robot interfacing systems and methods
Publication Date: 2024.09.03 WALMART APOLLO LLC
  • US12076864B2 patent drawing
  • US12076864B2 patent drawing
  • US12076864B2 patent drawing

AI summary

Described in detail herein is an automated fulfillment system including a computing system programmed to receive requests from disparate sources for physical objects disposed at one or more locations in a facility. The computing system can combine the requests, and group the physical objects in the requests based on object types or expected object locations. Autonomous robot devices can receive instructions from the computing system to retrieve a group of the physical objects and deposit the physical objects in storage containers.