Integrating real-time vision and manipulation
Yoshimi
Billibon
author
Columbia University. Computer Science
Allen
Peter K.
author
Columbia University. Computer Science
Columbia University. Computer Science
originator
text
Articles
1997
English
Describes a system that integrates real-time computer vision with a sensorless gripper to provide closed-loop feedback control for grasping and manipulation tasks. Many hand-eye coordination skills can be thought of as sensory control loops, where specialized reasoning has been embodied as a feedback or control path in the loop's construction. Our framework captures the essence of these hand-eye coordination skills in simple visual control primitives, which are a key component of the software integration. The primitives use a simple visual tracking and correspondence scheme to provide real-time feedback control in the presence of imprecise camera calibrations. Experimental results are shown for the positioning task of locating, picking up and inserting a bolt into a nut under visual control. Results are also presented for the visual control of a bolt tightening task.
Robotics
Proceedings of the Thirtieth Hawaii International Conference on System Sciences
Sprague
Ralph H.
editor
Piscataway, N.J.
IEEE
1997
178
187
http://dx.doi.org/10.1109/HICSS.1997.663173
http://hdl.handle.net/10022/AC:P:15217
NNC
NNC
2012-11-07 13:22:11 -0500
2012-11-07 13:26:42 -0500
9219
eng