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IBL-26-0982

Power and motion-sensing educational robot

Listed on
2026-07-13
Robotics Technology Wheeled/Tracked Robots Control/AI/SW
0.05
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0.82
TR (N)
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0.06
MC
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Educational Robot Combining Wearable Object Recognition and Power-Responsive Control

This technology is an educational robot device that receives images of objects captured by a user's wearable device to identify the object type, outputs information about the recognized object via video and audio, and controls the robot's movement. It also features a technology that monitors reserve and demand power levels within the power supply system to manage operating modes.

Cognitive and language education for infants and toddlers has historically been difficult to provide consistently due to time constraints faced by parents.

This technology proposes an educational robot that communicates with a wearable device to capture the direction the user is pointing, recognizes objects, and outputs relevant educational content. By dynamically controlling the robot's operating mode based on power status, it enables both efficient educational support and optimized power management. It can be applied to early childhood cognitive and language education as well as home service robotics, enriching the learning experience by recognizing objects based on the user's line of sight and providing tailored educational content.

Key Features:
  • A communication unit that receives images of objects in the direction pointed to by the user from a wearable device.
  • A control unit that identifies the type of object in the received image and manages operations in response to power status.
  • An output unit for displaying video and audio corresponding to the type of recognized object.
  • A mobility unit that allows the robot to move within a certain range of the user, and a control configuration responsive to reserve and demand power.

This invention was developed through the "Development and Demonstration of National DR Business Models for Activating Demand Response for Small-Scale Electricity Consumers" project supported by the Ministry of Trade, Industry and Energy, and the "Development of IoT Platforms for Energy Efficiency and Creative Talent Development" project supported by the Ministry of Science and ICT.

Seoul National University
Juhyun Yoon | Mingu Lee | Wouri Kim | Jiyun Ahn | Yonghyun Lee | Jeongguk Hong | Yeonbo Shim | Jinho Kim | Dongwan Kim
Document
Date of application:
2018-10-29
|
Patent registration number:
10-2191488
Industry
robot•automation
education
Technology
Robotics
Artifical Intelligence
Country
Korea
Family Patent

N/A

Price
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