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| Image Translation |
| The features reconstructed by the feedback CNN represent those learned by the feedforward CNN. By analyzing how clusters are formed in the layers of feature spaces in the feedback CNN, we can interpret which features critically contribute to recognition. |
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| FER-CNN |
| FER-CNN has capability of not only extracting but also reconstructing a hierarchy of features with the layer-wise independent feedback connections that can be trained. |
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| Lunar Rover |
| Creating a 3-D Map of the Surrounding Area and Recognizing Obstacles for Korean-type Lunar Exploration Rovers |
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| Space Robotics |
| Developing a high precision vision based 6D SLAM technologies for long range rover localization |
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| World Class University(WCU) |
| Our research focuses on the goal-driven perceptual attention and the cognitive robotic engine (CRE) for natural human robot interaction. |
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| Cognitive Consumer Robotics (HomeMate) |
| In this project, we will develop original key technologies that enable consumer robots to perform human-like, naturally self-contained yet highly dependable, robotic services, such as elderly-care, home security, and errand services. |
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| Auto Exposure |
| In structured light system, the projector illuminates patterns, and the patterns captured by the camera are decoded. |
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| 3D Camera HW based on Structured Light |
| We have two types of 3D Camera HW. First, 3D IR Camera based on structured light suitable for robots working in home environment. Because IR light is employed in order to achieve human friendliness and robustness in illumination variation. |
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| 3D reconstruction |
| To encode a position, we assign a unique address in each position of the projector's image. |
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| Caller Identification |
| This project team has been developing the system for accomplishing of the caller identification mission based on cognitive robotic engine. |
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| Particle Filtering Framework |
| we are developing a particle filter based probabilistic method for recognizing an object and estimating its pose based on a sequence of images. |
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| 3D Workspace Modeling |
| To provide a robot with a 3D Workspace model for manipulation planning a human-like real-time workspace modeling is proposed where modeling is done by integrating the 3D object/environment. |
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| Line-Based Recognition |
| This project group members have been developing a recognition system based on 3D line features for identifying of an object and estimating of the pose of it. |
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