ISRI > Team

Research Teams in the Intelligent Systems Research Center
 
 
 
3D Recognition
We are developing a recognition system which is the dependability and real-time capability of 3D recognition and modeling against large environmental variations as well as of self-correcting unexpected errors that await a breakthrough.
 
3D Modeling/ Manufacturing Automation
The aims of this research team is to make 'object/environment self modeling system' for robot using various sensors.
 
Visual Servoing
Our team has researched visual servoing for applying it to real environment.
 
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
 
3D Sensing
In order to acquire accurate and robust 3D range data, our team has researched 3D camera.
 
Categorization and Self Modeling
 
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
 
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.
 
Space Robotics
 
Medical Robotics
 
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
 
Nano and MEMS
 
Cognitive Consumer Robotics (HomeMate)


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