Mobile Robot Area-Segmented Search for Lost Object Detection
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Solution Overview
Problem
Current mobile robots face inefficiencies in searching for objects, as they often scan all areas without priority, leading to prolonged search times, and may transmit unnecessary information to users, exposing privacy and lacking precision in object detection.
Innovation Solution
A mobile robot equipped with a traveling unit, sensing unit, and communication module, controlled by a controller that searches specified areas based on input information, prioritizes object detection, and transmits identification and position information while protecting user privacy by excluding images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the mobile robot searches all areas without priority, then the search coverage is complete, but the search time becomes excessively long
Solution Approach 1:
The patent divides the search area into multiple zones and prioritizes searching areas closer to the robot's current position first. The controller systematically expands the search radius outward, segmenting the overall search space into concentric zones. This segmentation allows the robot to efficiently cover the entire area while minimizing search time by focusing on high-probability areas first.
2Loss of information
If the mobile robot transmits all detected object information to the user, then the information completeness is high, but the user privacy is exposed and unnecessary information is transmitted
Solution Approach 1:
The patent extracts and transmits only essential object information (identification and position) to the user, deliberately excluding detailed images and other sensitive data. This selective extraction maintains the usefulness of the information for the user while protecting privacy and reducing unnecessary data transmission.
3Reliability
If the mobile robot detects and transmits information on all discovered objects, then the detection coverage is comprehensive, but the detection precision for target objects is reduced
Solution Approach 1:
The patent applies different processing qualities to different types of objects. Target objects (lost articles) receive focused, high-precision detection and information transmission, while other detected objects are processed with lower detail. This local quality differentiation ensures that critical target objects are identified accurately while maintaining comprehensive detection coverage.
Data Source
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AI summary
A mobile robot includes a traveling unit configured to move a main body, a sensing unit configured to detect a surrounding object while the mobile robot travels, a communication module configured to get input or receive information and to output or transmit information, and a controller configured to perform control to search for an object while the mobile robot travels in an area specified by area information input or received from the communication module, and to perform control to output or transmit identification information and position information of a detected discovered object through the communication module. A method of controlling a mobile terminal includes an input operation of receiving information for traveling, a travel operation of searching for an object while the mobile robot travels in an area specified according to the area information, and an output operation of outputting identification information and position information of a discovered object, detected in the travel operation.