Robot Control Learning for Unregistered External Devices
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Solution Overview
Problem
Users must perform additional procedures such as inputting device information and registering locations for robots to control external electronic devices, which is inconvenient.
Innovation Solution
An electronic device with an actuator, camera, wireless communication circuit, and processor that can identify and control external devices by learning control methods, allowing it to perform operations without prior registration, using control command sets and user inputs to transmit commands wirelessly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a robot is equipped with control capabilities for external electronic devices, then it can perform control operations, but users must perform additional procedures such as inputting device information and registering locations
Solution Approach 1:
The robot autonomously identifies external electronic devices using its camera and learns their locations and control methods through self-exploration. The system performs self-service by automatically acquiring device information, storing control command sets, and mapping device locations without requiring user input or registration procedures.
Solution Approach 2:
The robot performs preliminary actions by proactively seeking out external electronic devices, capturing their images, and storing control command sets before any user command is given. This preliminary exploration enables the robot to have control capabilities ready in advance, eliminating the need for users to perform setup procedures when control is needed.
2Ease of operation
If the robot can autonomously learn control methods, then user registration procedures are eliminated, but the device requires additional components such as camera and wireless communication circuits
Solution Approach 1:
The robot employs a camera that serves multiple functions: it captures images of external electronic devices for identification, determines device locations through image analysis, and potentially monitors device states. This multi-functional component reduces the need for separate dedicated sensors while enabling autonomous learning capabilities.
Solution Approach 2:
The system uses an image processing module as an intermediary between the camera and the control system. This intermediary analyzes captured images to identify device types, determine locations, and match them with appropriate control command sets from storage, enabling the robot to learn control methods without direct user intervention while managing system complexity through modular processing.
Data Source
AI summary
An electronic device is provided. The electronic device includes a memory and a processor configured to move the electronic device, obtain an image and location of the external electronic device, identify the external electronic device based on the obtained image, transmit the plurality of control commands to the identified external electronic device, monitor a response of the external electronic device, store an identifier of a first control command set and the location of the external electronic device, wherein the first control command is based on the monitoring, and the first control command set includes the first control command that performs a pre-specified first operation, receive a first input, move the electronic device based on the received first input and the location, and transmit the first control command to the external electronic device based on the received first input and the identifier of the first control command set.