DocumentCode :
2022739
Title :
Image-based visual servoing for grasping unknown objects
Author :
Fujimoto, Hido ; Zhu, Liu-Cun ; Abdel-Malek, Karim
Author_Institution :
Dept. of Syst. Eng., Nagoya Inst. of Technol., Japan
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
876
Abstract :
In this paper we present an image-based visual servoing approach to the problem of grasping unknown objects by adopting visual vectors. A CCD camera mounted on the robot end-effector constructs the visually guided servo control system and the control scheme lends itself to task-level specification of manipulation goals by the visual vectors. The grasping task is to control the robot so that the vectors of the end-effector´s finger and of a target object´s grasp coincide. These vectors can be used to represent the work of a stable grasping of an object that is presented in an unstructured manner These visual vectors in image frame are obtained by analyzing the object´s image and projection. The objective of vector processing is to estimate the error between the finger and grasp vectors, and to control the robot in order to eliminate kinematic errors
Keywords :
CCD image sensors; manipulators; robot vision; servomechanisms; stability; CCD camera; end-effector finger vectors; image-based visual servoing; kinematic error elimination; stable grasping; target object grasp vectors; unknown object grasping; visual vectors; Cameras; Charge coupled devices; Charge-coupled image sensors; Control systems; Error correction; Fingers; Robot control; Robot vision systems; Servosystems; Visual servoing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
Type :
conf
DOI :
10.1109/IECON.2000.972238
Filename :
972238
Link To Document :
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