DocumentCode :
3232814
Title :
Neuroplanners for hand/eye coordination
Author :
Graf, Daryl H. ; LaLonde, Wilf R.
Author_Institution :
Sch. of Comput. Sci., Carleton Univ., Ottawa, Ont., Canada
fYear :
1989
fDate :
0-0 1989
Firstpage :
543
Abstract :
The authors generalize a previously described architecture, which they now call a neuroplanner, and apply it to an extension of the problem it was initially designed to solve-the target-directed control of a robot arm in an obstacle-cluttered workspace. By target directed they mean that the arm can position its end-effector at the point of gaze specified by a pair of stereo targetting cameras. Hence, the system is able to ´touch the point targetted by its eyes. The new design extends the targetting system to an articulated camera platform-the equivalent of the human eye-head-neck system. This permits the robot to solve the inverse problem: given the current configuration of the arm, the system is able to reorient the camera platform to focus on the end-effector. Because of obstacles, the camera platform will generally have to peer around obstacles that block its view. Hence the new system is able to move the eye-head-neck system to see the hand.<>
Keywords :
industrial robots; neural nets; position control; articulated camera platform; end-effector; eye-head-neck system; gaze; hand/eye coordination; inverse problem; neuroplanner; obstacle-cluttered workspace; robot arm; stereo targetting cameras; target-directed control; Neural networks; Position control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
Type :
conf
DOI :
10.1109/IJCNN.1989.118296
Filename :
118296
Link To Document :
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