In Robocarechair project, we develop and commercialize intelligent personal assistant robotic system for the elderly and the disabled by integrating domestic autonomous driving and health care service technology and RobotCareChair of foreign institutions on mutual cooperation.

The goal of this project is to develop and apply artificial intelligent management systems based on deep neural network that securely manage the "Personal Care Integrated System" based on "Robotcarechair" by integrating the intelligent Vision recognition and health care service technology of Sungkyunkwan University with the Transformable Structure and Robotcarechair", Personal Care Robot, of the Czech Institution and the indoor autonomous navigation system.

• High flexible mobility / control technology based on integrated management control system.

• High reliability Visual SLAM and state-of-art real-time object detection for autonomous navigation in complex indoor environment.

• Deep learning base face and gesture recognition for social interaction between user and menu-driven HRI interface with smartphone.

• Real-time health monitoring technology of user / patient based on thermal camera.