Article ID Journal Published Year Pages File Type
413574 Robotics and Autonomous Systems 2006 13 Pages PDF
Abstract

This paper addresses the issue of measurement errors in visual servoing. The error characteristics of the vision based state estimation and the associated uncertainty of the control are investigated. The major contribution is the analysis of the propagation of image error through pose estimation and visual servoing control law. Using the analysis, two classical visual servoing methods are evaluated: position-based and 2.5D visual servoing. The evaluation offers a tool to build and analyze hybrid control systems such as switching or partitioning control.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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