Robot cleaner and operating method of the same

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Solution Overview

Problem

Existing robot cleaners often disturb users by operating at inconvenient times, as their cleaning schedules and paths are not adapted to the user's life patterns, leading to inefficient cleaning and potential disruption of rest or activities.

Innovation Solution

A robot cleaner that collects user life pattern information through sensors and determines a cleaning schedule and path to avoid operating when the user is present, using artificial neural networks to cluster and weight-average life pattern data for optimal cleaning times and paths.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If the robot cleaner operates at fixed scheduled times, then cleaning productivity is improved, but user convenience deteriorates due to disturbance during rest or activities

Engineering Contradiction:
Improvecleaning efficiencyVSAvoiduser convenience
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The cleaning schedule is made dynamic by continuously monitoring user life pattern information and automatically adjusting cleaning times based on detected user absence or presence. The system transitions from static fixed scheduling to dynamic adaptive scheduling, allowing the robot to operate during user-absent periods while avoiding disturbance during user-present periods.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system implements feedback by detecting user life patterns through sensors and using this information to adjust cleaning schedules. The cleaning schedule is continuously optimized based on feedback from user behavior detection, ensuring cleaning operations align with user absence patterns and minimize disturbance.

Inventive Principle:
Principle #23Feedback

2Adaptability or versatility

If the user manually resets cleaning start time and path, then adaptability to life pattern changes is improved, but device complexity increases due to user intervention requirements

Engineering Contradiction:
Improveadaptability to life pattern changesVSAvoiduser intervention complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The robot cleaner performs self-service by autonomously detecting user life patterns and automatically adjusting its own cleaning schedule and path without requiring user intervention. The system monitors user absence/presence and independently reconfigures cleaning operations, eliminating the need for manual reset operations by the user.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses feedback from sensor-detected user behavior to automatically adapt cleaning schedules. When user absence is detected or life patterns change, the system receives feedback and autonomously adjusts cleaning parameters, achieving adaptability without increasing user-facing complexity.

Inventive Principle:
Principle #23Feedback

3Reliability

If the robot cleaner performs cleaning immediately after contamination generation, then cleaning effectiveness is improved, but user convenience deteriorates due to disturbance during user activities

Engineering Contradiction:
Improvecleaning effectivenessVSAvoiduser convenience
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system performs preliminary detection of contamination generation through sensors and prepares cleaning in advance, but delays actual cleaning execution until user absence is confirmed. This preliminary action ensures rapid response to contamination while coordinating with user schedules to avoid disturbance.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from real-time user presence detection to determine optimal cleaning timing. When contamination is detected, the system monitors user behavior feedback and executes cleaning during confirmed user-absent periods, balancing immediate cleaning needs with user convenience.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11517168B2Robot cleaner and operating method of the same
Publication Date: 2022.12.06 LG ELECTRONICS INC
  • US11517168B2 patent drawing
  • US11517168B2 patent drawing
  • US11517168B2 patent drawing

AI summary

Provided is a robot cleaner using an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things (IoT). The robot cleaner includes one or more sensors, a driving wheel, a suction blower, and a controller, and the controller defines a cleaning target area, identifies a user's location and a type of the user's behavior, collects life pattern information of the user including the user's location, the type of the user's behavior, and timestamps each associated therewith during the time period of one day or more, determines a cleaning schedule of the robot cleaner based on the collected life pattern information, and controls the driving wheel and the suction blower so as to perform cleaning in accordance with the determined cleaning schedule.