Intelligent cleaning robot
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Solution Overview
Problem
Current cleaning robots lack advanced navigation and object recognition capabilities, especially in diverse environments, and are not effectively adaptable for both land and water use.
Innovation Solution
An intelligent cleaning robot equipped with an optical module that combines infrared, structure, and complex light sources to create 3D and color images, integrated with a central processing module using AI for environment mapping and object classification, along with a waterproof housing and versatile drive modules for amphibious operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If cleaning robots use simple navigation and object recognition systems, then device complexity is reduced, but navigation and object recognition capabilities in diverse environments deteriorate
Solution Approach 1:
The patent combines multiple optical modules (infrared, structure light, and color cameras) into an integrated optical system. This merging of different sensing technologies enables the robot to acquire comprehensive environmental information including depth, color, and texture data, significantly improving navigation and object recognition capabilities in diverse environments while maintaining manageable system complexity through unified processing.
Solution Approach 2:
The optical module is designed to perform multiple functions: infrared imaging for thermal detection, structure light for 3D mapping, and color imaging for object identification. This multi-functional design allows a single integrated system to handle various environmental conditions and task requirements, enhancing adaptability without proportionally increasing complexity.
2Device complexity
If cleaning robots are designed for land use only, then device complexity is reduced, but adaptability to water and land environments deteriorates
Solution Approach 1:
The housing is designed with waterproof characteristics that enable the robot to operate in both land and water environments. This universal design approach allows the same device to function across different media without requiring separate specialized versions, achieving amphibious capability while maintaining reasonable structural complexity through careful sealing and material selection.
3Device complexity
If cleaning robots use basic optical sensors, then device complexity is reduced, but object recognition accuracy in diverse environments deteriorates
Solution Approach 1:
The optical module merges infrared, structure light, and color camera technologies into an integrated sensing system. This combination enables the robot to capture multiple types of information simultaneously - thermal signatures, three-dimensional structure, and color characteristics - significantly improving object recognition accuracy in diverse environments while managing optical module complexity through unified processing architecture.
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
Enables efficient navigation and object recognition in various environments, allowing the robot to effectively pick up trash and move around both on land and underwater, with improved adaptability and cleaning efficiency.
Implementation Method 1
The optical module 12 can emit light to an outside of the housing 10 through the light transmission holes 11 and receive light reflected back from a surrounding environment of the housing 10 through the light transmission holes 11
Implementation Method 2
The complex light source 124 can emit light of different wavelengths to the outside
Implementation Method 3
The infrared light source 121 can emit infrared light
Data Source
AI summary
An intelligent cleaning robot comprises a housing, an optical module, a pickup module, a central processing module, and a drive module. The housing defines light transmission holes for the optical module, which comprise an infrared light source, a complex light source, a structure light lens to receive reflected infrared light through the holes to form a three-dimensional image, and a color lens to receive reflected light through the holes to form a color image. The central processing module can receive the three-dimensional image and the color image and form an image of an environment. The pickup module can be controlled to pick up garbage and objects in the environment according to the image of an environment, and the robot can be controlled to move on land or in water.