Abstract | ||
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This paper describes a 3D pose estimation method for a quadruped robot and a target tracking method for its navigation. The estimated 3D pose is a key resource for walking robot operation. The pose is applied to two components: the robot's walking control and navigation. The estimated robot pose can be used to compensate sensor data such as camera and lidar. The estimated target is used as part of a leader-following system in a GPS-denied environment. In this paper, we show a 3D pose estimation method for the robot for and target tracking for leader-following navigation. |
Year | DOI | Venue |
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2013 | 10.1109/URAI.2013.6677313 | URAI |
Keywords | Field | DocType |
global positioning system,quadruped robot,target tracking,quadruped walking robot,legged locomotion,gps-denied environment,pose estimation,robot walking control,path planning,object detection,3d pose estimation,leader-following navigation,imu,target position estimation | Motion planning,Robot control,Computer vision,Computer science,3D pose estimation,Pose,Global Positioning System,Artificial intelligence,Mobile robot navigation,Robot,Mobile robot | Conference |
ISSN | ISBN | Citations |
2325-033X | 978-1-4799-1195-0 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kuk Cho | 1 | 8 | 2.95 |
Seung-Ho Baeg | 2 | 20 | 5.98 |
Sangdeok Park | 3 | 69 | 15.52 |