Mobile Home Robot Mapping IoT Device Locations Indoors
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Solution Overview
Problem
Existing IoT hub devices struggle to accurately identify the location of IoT devices in the home, limiting their ability to provide optimized services, especially when devices are moved or new devices are installed, requiring manual registration and updates.
Innovation Solution
A mobile home robot equipped with a processor, camera, and user interface that captures images of IoT devices, recognizes them, generates location information, and updates map data to provide accurate location-based services, allowing for automatic identification and control of IoT devices through voice commands and context awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed-type IoT hub device is used, then the device structure is simple and stable, but it cannot automatically identify accurate locations of IoT devices and requires manual input
Solution Approach 1:
The mobile robot automatically identifies IoT devices and their locations without human intervention. The robot autonomously navigates through the home environment, captures images of IoT devices, recognizes them using image processing, and updates the location database automatically, eliminating the need for manual location input by users
Solution Approach 2:
The patent replaces manual mechanical input methods with automated optical recognition systems. Instead of requiring users to manually input device locations through interfaces, the system uses cameras to capture images, processes these images to identify devices, and automatically updates location data, substituting mechanical human operation with automated vision-based recognition
2Ease of operation
If manual registration of IoT devices is required, then the system structure is simple, but the operation complexity increases and user convenience decreases
Solution Approach 1:
The mobile robot performs self-service by autonomously discovering IoT devices, capturing their images, recognizing them through image processing algorithms, and automatically registering them in the system with accurate location data. This eliminates the need for users to manually register each device, significantly improving ease of operation despite the increased system complexity
Solution Approach 2:
The system performs preliminary actions by having the mobile robot proactively search for and identify IoT devices before any user interaction is needed. The robot autonomously navigates, captures images of devices, and pre-registers them in the database, so when users need to control devices, everything is already set up and ready
3Adaptability or versatility
If mobile IoT devices change positions frequently, then device mobility is improved, but the need for continuous manual updates increases
Solution Approach 1:
The mobile robot performs continuous location verification and updates by periodically navigating through the home environment, searching for IoT devices, and updating their locations in real-time. This continuous automated monitoring ensures that even when devices are moved frequently, the system maintains accurate location information without requiring repeated manual updates, saving user time
Solution Approach 2:
The system implements feedback mechanisms where the mobile robot continuously monitors IoT device locations and automatically updates the database when changes are detected. The robot uses image recognition to detect device movements and provides feedback by updating location information, ensuring the system remains synchronized with the actual device positions without user intervention
Data Source
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AI summary
A mobile home robot is provided. The mobile home robot includes a storage configured to store in-home map data, a communication interface comprising communication interface circuitry, a camera, a user interface, and a processor configured to, based on device information of a plurality of Internet of things (IoT) devices installed in the home and an image captured through the camera while the mobile home robot moves around in the home, generate location information of each of the plurality of IoT devices, to map the generated location information with the map data, and in response to a user command being received through the user interface, to provide an IoT device location-based service based on the map data with which the location information is mapped.