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Work item:
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Q.IEC-ERS
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Subject/title:
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Signalling requirements and interfaces of educational robot system at intelligent edge computing
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Status:
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Under study
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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Q4-2027 (Medium priority)
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Liaison:
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ITU-T SG21
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Supporting members:
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Korea (Rep. of), ETRI, SKT
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Summary:
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In smart education, research on physical computing using educational robot sensor boards is being actively conducted, and it has been developed with the goal of improving students' logic and creativity as well as their cognitive abilities and is being used in convergence education. In particular, in the case of educational robots, it is an effective tool that can increase students' interest and solves problems through the process of manufacturing the structure that makes up the robot's body, the process of manufacturing electronic circuits including controllers and sensors, and the programming process to control the robot. It is greatly helpful in improving abilities and cognitive abilities.
The intelligent edge cloud-supported smart educational robot system can be realized using the Rec. ITU-T Q.5001 intelligent edge computing (IEC). The IEC reference point TE can be used in the sensor and actuator parts of the smart education system, and the reference points between ENE/ICE/EGE can be used for interaction with the edge server. By using these reference points, gyro, proximity, button and environmental data collected in the educational field can be transmitted to the edge server. Data accumulated in the edge server is transmitted to the service module through the cloud server. Service factor is transmitted to the edge server according to the service items provided by the service module. These services are provided directly to the physical robot to implement functions such as information and control. In addition, services such as data visualization and prediction information can be provided to digital robots.
This draft recommendation defines signalling requirements and interfaces of educational robot system at intelligent edge computing.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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First registration in the WP:
2025-12-19 12:19:03
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Last update:
2026-01-16 10:10:32
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