Robotic Floor-Cleaner Scheduling Using Historical Usage Patterns

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Solution Overview

Problem

Existing robotic floor-cleaning devices require users to manually set schedules, which can be time-consuming and inefficient, and lack the ability to automatically generate schedules based on historical usage data.

Innovation Solution

A method for a robotic floor-cleaning device to automatically devise a work schedule using historical data, incorporating a control unit that monitors and stores usage times, applies machine learning techniques to develop a suggested schedule, and allows user adjustments through an input/output device.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If users manually set schedules for robotic floor-cleaning devices, then scheduling functionality is achieved, but user time and energy are consumed

Engineering Contradiction:

Improveschedule setting automationVSAvoiduser time for schedule setup

Core Design Contradiction:

Extent of automationVSLoss of time

Solution Approach 1:

The robotic floor-cleaning device automatically generates its own work schedule by analyzing historical cleaning data and usage patterns, eliminating the need for manual user input. The system serves itself by autonomously determining optimal cleaning times and durations based on accumulated operational history.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system collects and analyzes historical usage data in advance to pre-determine future work schedules. By processing past cleaning patterns beforehand, the device can automatically generate optimized schedules without requiring user intervention at the time of scheduling.

Inventive Principle:

Principle #10Preliminary action

2Ease of operation

If automated schedule generation is implemented, then user input requirements are reduced, but system complexity increases

Engineering Contradiction:

Improveschedule setup easeVSAvoidschedule generation system complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical schedule setting with an automated computational system that processes historical data and generates schedules algorithmically. The control unit uses data processing and pattern recognition to substitute the manual scheduling mechanism with an intelligent automated system.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If historical data is collected and analyzed, then schedule accuracy improves, but data processing requirements increase

Engineering Contradiction:

Improveschedule prediction accuracyVSAvoiddata processing energy consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system analyzes historical data to a sufficient degree needed for accurate schedule generation without performing exhaustive processing. It identifies key patterns and trends from past usage data to generate effective schedules, processing only the necessary amount of information rather than all possible data points.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS11960262B2Method for devising a schedule based on user input

Publication Date: 2024.04.16 AI INC

AI summary

Some aspects include a schedule development method for a robotic floor-cleaning device that recognizes patterns in user input to automatically devise a work schedule.