Dori, the teacher for children with ADHD.

: Dori - A Robot for ADHD Screening, Behavioral Development Training, and Education

Dori is a robot based on advanced smart interactive technology,
innovatively designed for the purpose of screening forADHD in children and providing behavioral development training and education.

This robot boasts a high developmental disorder screening recognition rate of over 95%, and is particularly skilled in identifying and analyzing a range of problematic behaviors in children.

The features of Dori

Content for screening developmental disabilities in children
Education for Children with Disabilities
Technology for acquiring and analyzing identification and omnidirectional skeletal data of multiple children
Medical validation
Screening accuracy verified to be over 95% compared to diagnoses by clinicians

  • 발달장애 아동 선별
  • 행동발달치료 교육 컨텐츠
  • 훈련 결과 데이터 분석

One of the core features of Dori is its ability to accurately recognize children's abnormal behaviors in environments with more than five children, using multi-modal sensing integration technology. This technology measures and analyzes each child's location and joint information in real-time, performing ADHD screening based on this data.

Dori is equipped with eight types of training content for developmental disorders. Its AI big data analysis function systematically analyzes children's behavioral patterns. This analysis is utilized to improve diagnosis and training outcomes for ADHD, thereby enhancing therapeutic and educational strategies.

Thus, Dori monitors children's behavior, provides personalized treatment and educational programs, promotes child development, and opens up possibilities for early identification and response to developmental disorders like ADHD.

Dori, teacher for Children with ADHD

Applications and Anticipated Areas for Dori

Dori is a smart interactive robot designed for screening and treating developmental disorders in children, particularly excelling in ADHD screening with high accuracy.

While not yet commercially available, thorough empirical research over several years has validated its technology, capable of identifying children with developmental disorders with an impressive accuracy rate of over 95%.

This validation process has confirmed the remarkable capabilities and practicality that Dori potentially possesses.

Such verification results from the application of Dori's diverse functions, such as multi-modal sensing integration technology, AI big data analysis, and the ability to provide lively interactions, in real-world settings.

These technologies have played a crucial role in precisely identifying developmental disorders like ADHD by measuring and analyzing a child's location and joint information in real-time, thereby recognizing problematic behaviors.

Dori's developmental disorder education contents has been pivotal in providing customized education to children, while simultaneously analyzing behavior patterns to identify areas for improvement.

The autonomous navigation feature allows the robot to move to the exact location of the children, facilitating more effective interaction-based learning and training activities

Integrating these diverse functions, Dori is currently in the phase of seeking retail outlets. The high accuracy results obtained from its empirical research will serve as a strong foundation for securing sales channels.

The plan is to introduce Dori to potential buyers in various sectors, such as educational institutions, medical facilities, and special treatment centers, who will recognize the benefits and value that this robot can offer. The aim is to enable them to utilize this innovative technology.


Specifications - Dori

Main Body

Size : 1,250 x 639 x 639 (H x W x D ㎜)

Weight : Approximately 35kg

Battery : 25.2V/20Ah

Battery Usage Time : 4-6 hours

Battery Charging Time : 3.5 hours

Moving part : 10 degrees of freedom (joints), Omni-wheels (drive unit)

Moving Speed : 0.8m/sec


Display : 10.1" capacitive touch display (resolution 1024 x 768), beam projector

Operating System (OS) : Linux 20.04 LTS

Processor : Intel Core i3 12th generation

Memory : RAM 8GB, Storage 120GB

Sensors : RGB camera, IMU sensor, 2D Lidar, 5W speaker

Communication : WiFi(IEEE 802.11ac) / GbE LAN

Loaded Technologies/Contents

Autonomous Driving
: Obstacle avoidance based on spatial mapping
: Autonomous driving to the destination using navigation technology
: Automatic docking and recharging function when the battery is low

User Tracking Technology, Identity Recognition, User Motion Recognition/Hand Gesture Recognition

: Equipped with 3 types of developmental disorder screening content
: 8 types of developmental disorder education and training content

Health Promotion Contents, Conversation Contents, User Emotion Analysis, Various Robot Expressions