DocumentCode :
299922
Title :
Robotic grasping of complex objects without full geometrical knowledge of the shape
Author :
Rodrigues, M.A. ; Li, Y.F. ; Lee, M.H. ; Rowland, J.J. ; King, C.
Author_Institution :
Dept. of Comput. Sci., Hull Univ., UK
Volume :
1
fYear :
1995
fDate :
21-27 May 1995
Firstpage :
737
Abstract :
This paper describes a control method for searching suitable gripping points on the outline of generic shapes. It is aimed at robotic grasping tasks where no full geometrical knowledge of the shape is assumed. We first describe the method for a range of 2D generic shapes and then instantiate the method for pick and place operations on known shapes. The algorithms are run on the shape as it appears on the computer screen directly from a vision system. Virtual robotic fingers and associated sensors are then configured and positioned on the screen with three variables being simultaneously controlled. When the control systems reach a steady state, information about virtual finger position and orientation are then used to drive the manipulator
Keywords :
computer vision; manipulators; position control; virtual reality; 2D generic shapes; complex object grasping; manipulator; position control; robotic grasping; virtual robotic fingers; Automatic control; Computer science; Computer vision; Control systems; Fingers; Grippers; Machine vision; Partitioning algorithms; Robot sensing systems; Shape control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location :
Nagoya
ISSN :
1050-4729
Print_ISBN :
0-7803-1965-6
Type :
conf
DOI :
10.1109/ROBOT.1995.525371
Filename :
525371
Link To Document :
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