Mobile robot

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Solution Overview

Problem

Conventional mobile robots lack the ability to detect floor materials, leading to issues such as getting stuck on carpets and increased cleaning time, as they cannot control their movement based on the material characteristics of the floor.

Innovation Solution

Equipping the mobile robot with an optical flow sensor, cliff sensor, and acceleration sensor to detect the material of the floor by analyzing image quality, reflectance, and load information, allowing the robot to perform an entry restriction operation to avoid troublesome regions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If the mobile robot travels autonomously on various floor surfaces, then the cleaning coverage is improved, but the robot may get stuck on carpets or troublesome surfaces

Engineering Contradiction:
Improvecleaning coverageVSAvoidtravel reliability
Core Design Contradiction:
Area of stationary objectVSReliability

Solution Approach 1:

The optical flow sensor and cliff sensor are positioned forward of the spin mop to detect floor material characteristics before the mop contacts them. This preliminary detection allows the robot to identify carpets and troublesome surfaces in advance and adjust its travel path accordingly, preventing the mop from getting stuck while maintaining broad cleaning coverage on suitable surfaces

Inventive Principle:
Principle #10Preliminary action

2Adaptability or versatility

If the robot uses a spin mop for mopping operation, then the mopping capability is improved, but the mop may catch on carpets causing mechanism troubles

Engineering Contradiction:
Improvemopping capabilityVSAvoidmop catching on carpet
Core Design Contradiction:
Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The optical flow sensor detects floor material characteristics before the spin mop contacts the floor surface. By analyzing image quality values, reflectance, and frame rates from the sensor data, the system identifies carpets and troublesome surfaces in advance, allowing the robot to avoid these areas before the mop can catch on them, thus maintaining mopping versatility while preventing mechanical issues

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The optical flow sensor acts as an intermediary between the robot's navigation system and the physical spin mop. It provides advance information about floor material characteristics, enabling the control system to mediate between the desire to mop various surfaces and the need to prevent the mop from catching on carpets by adjusting travel paths

Inventive Principle:
Principle #24Intermediary (Mediator)

3Manufacturing precision

If the robot enters troublesome regions like carpets, then the cleaning thoroughness is improved, but the cleaning time increases significantly

Engineering Contradiction:
Improvecleaning thoroughnessVSAvoidcleaning time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The cliff sensor and optical flow sensor detect floor material characteristics before the robot enters a region. By identifying carpets and troublesome surfaces in advance through sensor analysis, the robot can proactively avoid these areas and plan efficient cleaning paths around them, ensuring thorough cleaning of suitable surfaces without wasting time on surfaces that would cause the mop to get stuck

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

The solution enables the mobile robot to accurately determine floor materials and avoid carpets, reducing the risk of getting stuck and improving cleaning efficiency by proactively detecting and avoiding troublesome regions.

Implementation Method 1

extract an image quality value, the reflectance of a floor, and a frame rate from bottom-view image information, which is obtained by an optical flow sensor

Methodology Applied
Scientific EffectOptical reflection: Reflection

Implementation Method 2

providing a driving force to a pair of spin mops; an optical flow sensor configured to obtain bottom-view image information

Methodology Applied
Scientific EffectOptical time of flight: Time of Flight

Implementation Method 3

determine the material of the floor based on floor image information, information on the load of a spin mop, acceleration information

Methodology Applied
Scientific EffectAcceleration detection: Accelerometer

Data Source

PatentUS12150608B2Mobile robot
Publication Date: 2024.11.26 LG ELECTRONICS INC
  • US12150608B2 patent drawing
  • US12150608B2 patent drawing
  • US12150608B2 patent drawing

AI summary

The present disclosure provides a mobile robot. The mobile robot includes a body, a pair of spin mops rotatably mounted to the body, a mop motor configured to provide a driving force to the pair of spin mops, an optical flow sensor configured to obtain bottom-view image information using light at a regular time interval, and a controller configured to determine whether the material of the floor is a troublesome material based on the bottom-view image information sensed by the optical flow sensor and to control, upon determining that the material of the floor is a troublesome material, the mop motor to perform an entry restriction operation.