Cleaning robot and method of performing task thereof
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Solution Overview
Problem
Current cleaning robots are limited in their ability to determine specific tasks based on objects in their vicinity due to limited sensor combinations, resulting in repetitive avoidance patterns without effective interaction with objects.
Innovation Solution
A cleaning robot equipped with a camera, a guard portion, and AI models that capture images of objects, determine appropriate tasks, and control the guard portion to descend and move objects, allowing for optimized task performance based on object attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a general cleaning robot uses only basic sensors for obstacle detection, then the device complexity is reduced, but the robot cannot determine specific tasks based on object attributes and can only perform repetitive avoidance patterns
Solution Approach 1:
The camera serves multiple functions: it captures images for object recognition, determines object attributes (shape, size, color), and enables the robot to differentiate between various objects. This single component replaces multiple specialized sensors, achieving multi-functionality while controlling device complexity.
Solution Approach 2:
The patent replaces traditional mechanical sensors (ultrasonic, infrared, laser) with a camera-based vision system. The camera captures visual information that is then processed to determine object attributes and generate appropriate tasks, substituting mechanical sensing with optical sensing and computational analysis.
2Measurement precision
If the cleaning robot uses a limited sensor combination, then the device complexity is reduced, but the measurement precision of object information is insufficient
Solution Approach 1:
The patent replaces traditional mechanical sensors (ultrasonic, infrared, laser) with a camera-based vision system. The camera captures visual information that is then processed to determine object attributes, substituting mechanical sensing with optical sensing and computational analysis to achieve precise object characterization.
Solution Approach 2:
The camera acts as an intermediary that captures comprehensive visual information about objects. This single component provides multiple types of data (shape, size, color, position) that would otherwise require multiple specialized sensors, serving as a mediator between the robot and the environment.
3Productivity
If the cleaning robot performs only avoidance driving, then the ease of operation is maintained, but the productivity is reduced due to inability to perform specific tasks
Solution Approach 1:
The robot's behavior dynamically adapts based on object attributes. The same camera and processing system enable different driving patterns (avoidance, pushing, moving) depending on what is detected, making the system dynamic rather than static. This allows high productivity through task differentiation while maintaining ease of operation through automated decision-making.
Solution Approach 2:
The system uses feedback from camera images to determine object attributes and select appropriate tasks. The processed visual information feeds back into the control system, which automatically selects the suitable driving pattern, creating a closed-loop system that enhances productivity without requiring complex manual operation.
4Adaptability or versatility
If the cleaning robot lacks object recognition capability, then the device complexity is reduced, but the adaptability to different objects is limited
Solution Approach 1:
The patent replaces traditional mechanical sensors (ultrasonic, infrared, laser) with a camera-based vision system. The camera captures visual information that is then processed to determine object attributes, substituting mechanical sensing with optical sensing and computational analysis to achieve precise object characterization.
Solution Approach 2:
The camera serves multiple functions: it captures images for object recognition, determines object attributes (shape, size, color), and enables the robot to differentiate between various objects. This single component replaces multiple specialized sensors, achieving multi-functionality while controlling device complexity.
Data Source
AI summary
A method, performed by a cleaning robot, of performing a task, is provided. The method includes capturing an image of an object in a vicinity of the cleaning robot, determining a task to be performed by the cleaning robot, by applying the captured image to at least one trained artificial intelligence (AI) model, controlling a guard portion to descend from in front of an opened portion to a floor surface of the cleaning robot, according to the determined task, and driving towards the object so the object is moved by the descended guard portion.


