A Comparison between Position-Based and Image-Based Dynamic Visual Servoings in the Control of a Translating Parallel Manipulator
Author(s) -
Giacomo Palmieri,
Matteo-Claudio Palpacelli,
M. Battistelli,
Massimo Callegari
Publication year - 2012
Publication title -
journal of robotics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.303
H-Index - 14
eISSN - 1687-9619
pISSN - 1687-9600
DOI - 10.1155/2012/103954
Subject(s) - visual servoing , workspace , computer science , grasp , position (finance) , controller (irrigation) , computer vision , artificial intelligence , control theory (sociology) , image (mathematics) , trajectory , robot , relation (database) , visual control , manipulator (device) , parallel manipulator , control (management) , physics , finance , astronomy , database , agronomy , economics , biology , programming language
Two different visual servoing controls have been developed to govern a translating parallel manipulator with an eye-in-hand configuration, That is, a position-based and an image-based controller. The robot must be able to reach and grasp a target randomly positioned in the workspace; the control must be adaptive to compensate motions of the target in the 3D space. The trajectory planning strategy ensures the continuity of the velocity vector for both PBVS and IBVS controls, whereas a replanning event is needed. A comparison between the two approaches is given in terms of accuracy, fastness, and stability in relation to the robot peculiar characteristics.
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