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Performance tests for visual servo control systems, with application to partitioned approaches to visual servo control

Gans, Nicholas , Hutchinson, Seth , & Corke, Peter (2003) Performance tests for visual servo control systems, with application to partitioned approaches to visual servo control. The International Journal of Robotics Research, 22(10/11), pp. 955-981.

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Abstract

Visual servoing has been a viable method of robot manipulator control for more than a decade. Initial developments involved positionbased visual servoing (PBVS), in which the control signal exists in Cartesian space. The younger method, image-based visual servoing (IBVS), has seen considerable development in recent years. PBVS and IBVS offer tradeoffs in performance, and neither can solve all tasks that may confront a robot. In response to these issues, several methods have been devised that partition the control scheme, allowing some motions to be performed in the manner of a PBVS system, while the remaining motions are performed using an IBVS approach. To date, there has been little research that explores the relative strengths and weaknesses of these methods. In this paper we present such an evaluation. We have chosen three recent visual servo approaches for evaluation in addition to the traditional PBVS and IBVS approaches. We posit a set of performance metrics that measure quantitatively the performance of a visual servo controller for a specific task. We then evaluate each of the candidate visual servo methods for four canonical tasks with simulations and with experiments in a robotic work cell.

Impact and interest:

19 citations in Scopus
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18 citations in Web of Science®

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ID Code: 33856
Item Type: Journal Article
Keywords: visual servoing, partitioned methods, performance, test, comparison
DOI: 10.1177/027836490302210011
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2003 SAGE
Deposited On: 30 Sep 2010 11:16
Last Modified: 11 Aug 2011 00:50

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