Method for devising a schedule based on user input

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Solution Overview

Problem

Existing robotic floor-cleaning devices require users to manually set schedules, which can be time-consuming and energy-intensive, and there is a need for an automated method to devise a work schedule based on user inputs and historical data.

Innovation Solution

A method for a robotic floor-cleaning device that monitors usage times, stores data, and uses machine learning techniques to develop a suggested work schedule, which can be adjusted by users and stored for future use, with input/output capabilities for proposal and adjustment through devices like smartphones or tablets.

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 setup automationVSAvoiduser time for schedule setup

Core Design Contradiction:

Extent of automationVSLoss of time

Solution Approach 1:

The system automatically generates schedules by monitoring user behavior patterns and analyzing historical data, allowing the robotic floor-cleaning device to self-determine optimal scheduling without requiring manual user input for schedule creation

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system monitors when users manually turn on the device and uses this feedback data to learn user preferences and automatically adjust future scheduling recommendations, creating a closed-loop system that improves over time

Inventive Principle:

Principle #23Feedback

2Ease of operation

If users manually set schedules, then precise scheduling control is achieved, but user energy expenditure increases

Engineering Contradiction:

Improveschedule setting easeVSAvoiduser energy for schedule setup

Core Design Contradiction:

Ease of operationVSUse of energy by moving object

Solution Approach 1:

The control unit automatically performs schedule generation and optimization by analyzing stored usage data, eliminating the need for users to invest energy in manual schedule configuration while maintaining precise scheduling control

Inventive Principle:

Principle #25Self-service

3Extent of automation

If the system monitors and stores usage data, then automated schedule development is enabled, but device complexity increases

Engineering Contradiction:

Improvework schedule development automationVSAvoiddata monitoring and storage system

Core Design Contradiction:

Extent of automationVSDevice complexity

Solution Approach 1:

The control unit performs multiple functions including monitoring usage times, storing data in memory, analyzing patterns, and generating schedule recommendations, consolidating these complex functions into a single multi-functional component rather than requiring separate dedicated systems

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS10496063B1Method for devising a schedule based on user input

Publication Date: 2019.12.03 AI INC

AI summary

A schedule development method for a robotic floor-cleaning device that attempts to recognize patterns in user input to automatically devise a work schedule.