네트워크

기계

지능시스템연구센터

Research Teams in the Intelligent Systems Research Institute
 
 
 
ROBOCARECHAIR - CZECH
Robocarechair: A Smart Transformable Robot for Multi-Functional Assistive Personal Care
 
PHM(Prognostics and Health Management)
Goal of our team is to develop vehicle's health management system based on Machine Learning and IoT(Internet of Things).
 
Cognitive Consumer Robotics (HomeMate)
 
 
 
 
 
3D Camera
3D range sensing has been a momentous issue in computer vision, robotics as well as industry due to its potential applications like 3D object recognition, robotic manipulation and reverse engineering, etc. Structured light is an active stereo vision syste
 
Medical Robotics
 
 
Space Robotics
 
 
Interaction/ Visual Attention
Our team has researched the the goal-driven perceptual attention and cognitive robotics engine for for facilitating the Human-like natural interaction of robot with human.
 
Sensor Fusion and SLAM
Due to highly nonlinearity of vision system, a particle filter is necessary for cognitive vision estimation. It provides an estimation of the pose of the object in the scene in real-time, while improving the success rate of cognitive vision recognition. T
 
Categorization and Self Modeling
 
 
3D Sensing
In order to acquire accurate and robust 3D range data, our team has researched 3D camera.
 
Cognitive Robotic Engine
Cognitive Robotic Engine (CRE) is a robotic system architecture which aims for dependable perception and integration by combination of imperfect perceptual processes and/or proactive actions. This group aims at establishing a formalism of system architect
 
Visual Servoing
Our team has researched visual servoing for applying it to real environment.
 
3D Modeling/ Manufacturing Automation
The aims of this research team is to make 'object/environment self modeling system' for robot using various sensors.
 
3D Recognition
We are developing a 3D recognition and modeling system having the dependability and real-time capability against large environmental variations. And we are studying FER-CNN and an image translation based on deep learning for a recognition system.

국가

대한민국

소속기관

성균관대학교 (학교)

연락처

책임자

최형기 hkchoi@ece.skku.ac.kr

소속회원 0