Robot Cleaner Dynamic Sensor and Video Processing Priority Control

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Solution Overview

Problem

Existing cleaning robots face inefficiencies in adjusting processing priorities based on their surrounding environment, leading to unnecessary resource consumption and potential delays in obstacle detection and navigation.

Innovation Solution

The cleaning robot is equipped with sensors, cameras, and processors that adjust processing priorities based on whether the driving route is safe or cautionary, optimizing sensor operations and video processing accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the cleaning robot continuously operates sensors and processes video data at high priority, then obstacle detection reliability is improved, but energy consumption increases

Engineering Contradiction:
Improveobstacle detection reliabilityVSAvoidenergy consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The robot dynamically adjusts sensor operation status and video processing priority based on real-time environmental assessment. When the driving route is determined to be safe, sensors are stopped and video processing priority is reduced. When caution is needed, sensors are activated and processing priority is increased, creating a dynamic adaptation to environmental conditions rather than continuous high-state operation

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes operational parameters (sensor operation status, video processing priority) based on the assessed safety level of the driving route. This parameter adjustment allows the robot to maintain reliability when needed while reducing energy consumption during safe periods

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If the cleaning robot processes video data with high resolution and frame rate, then obstacle detection precision is improved, but processing time increases

Engineering Contradiction:
Improveobstacle detection precisionVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The robot applies partial processing action by adjusting video resolution and frame rate based on environmental conditions. During safe routes, lower resolution and frame rate are used, providing sufficient but not excessive processing capability, thereby reducing processing time while maintaining adequate detection precision when high precision is not immediately critical

Inventive Principle:
Principle #16Partial or excessive action

3Adaptability or versatility

If the cleaning robot operates all sensors continuously, then environmental awareness is improved, but resource efficiency deteriorates

Engineering Contradiction:
Improveenvironmental awarenessVSAvoidresource efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The robot implements periodic sensor operation rather than continuous operation. Sensors are activated during cautionary routes and deactivated during safe routes, creating a periodic pattern of operation that maintains environmental awareness when needed while improving resource efficiency through strategic deactivation during safe periods

Inventive Principle:
Principle #19Periodic action

Data Source

PatentEP4670598A1Robot cleaner and control method thereof
Publication Date: 2025.12.31 SAMSUNG ELECTRONICS CO LTD
  • EP4670598A1 patent drawingFigure 1
  • EP4670598A1 patent drawingFigure 2
  • EP4670598A1 patent drawingFigure 3

AI summary

Provided is a cleaning robot and a method of controlling same, the cleaning robot including: at least one sensor; at least one camera; a driver; at least one memory storing at least one instruction; and at least one processor connected with the at least one sensor, the at least one camera, the driver, and the at least one memory and configured to execute the at least one instruction, wherein the at least one instruction, when executed by the at least one processor, causes the cleaning robot to: identify a surrounding environment based on a video captured using the at least one camera, wherein the video is captured while the driver causes the cleaning robot to move, and adjust, based on the surrounding environment, a processing priority order of data obtained from the video.