Changhyun Choi > Research

Research

Grasping the Invisible A Deep Learning Approach to Grasping the Invisible RA-L 20
Reachability-Aware Object Grasping Learning to Generate 6-DoF Grasp Poses with Reachability Awareness ICRA 20	Object Grasping for Soft Hands 3D CNN-based Grasp Learning for Compliant Soft Robot Hands RA-L 18 (ICRA 18)
Object Localization for Soft Hands Vision for Pre- and Post-Grasping Object Localization ISER 16	Multi-robot assembly A team of robots collaborates for flexible manufacturing ISER 14, IJRR 15
RGB-D Object tracking A real-time particle filter on GPU for 6-DOF object pose tracking IROS 13	RGB-D Edge Detection and Registration An efficient edge detection method for RGB-D data and its application to registration IROS 13
Textureless Object Tracking Textureless object detection and tracking combined in a particle filtering framework IROS 12	RGB-D Object Pose Estimation A voting framework fusing depth and color information IROS 12, RAS 15
Pose Estimation using Geometric Pair Features Voting-based pose estimation using objects boundary information ICRA 12	Model-based Object Tracking Robust 3D model-based object tracking with both keypoint and edge features ICRA 10, 11, IJRR 12