Feature-based camera-guided grasping by an eye-in-hand robot
2003pp. 1832–1837
Citations Over TimeTop 12% of 2003 papers
Abstract
The author proposes a method of feature-based camera-guided grasping of a known object by splitting up the 3D movement in several successive 1D or 2D movements. Object recognition was achieved by extracting the 3D features of the object from image sequences while a camera mounted on a robots hand was moving toward the object. After the recognition of the object, the camera approached the object by several camera-guided steps: motion in the xy-plane, rotations around the z-axis, and movements along the z-axis. These movements were controlled by data which were derived from the image features. Finally, the gripper had to do a fine motion to reach the correct position for the grasping of the object.>
Related Papers
- The Student Movement and the Rise in the Values of the Thought and Culture of the May 4th Movement(2009)
- Re-discussion over the Yuan-Bai′s New Yue Fu Movement(2011)
- → The Movement Poets and the Movement Orthodoxy in the 1950s and 1960s(2005)
- → The Movement Poets and the Movement Orthodoxy in the 1950s and 1960s(2005)