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We have taken care of defining visually measurable system parameters, allowing visual servoing in real life experimentation.
Force feedback, adaptive visual servoing.
Using the analysis, two classical visual servoing methods are evaluated: position-based and 2.5D visual servoing.
Visual servoing controls the robot's arm to grasp an object.
In particular, the hybrid system is developed using the two autonomous control algorithms, i.e., position-based visual servoing (PBVS) and image-based visual servoing (IBVS).
We study the role such exploratory motion can play in a visual servoing task.
In robotics, they have received most attention in visual servoing and navigation.
This paper addresses the issue of measurement errors in visual servoing.
In this paper we address the problem of visual servoing using the so-called radial model.
Our method is particularly well-suited for Position-Based Visual Servoing (PBVS) applications.
This paper deals with the use of invariant visual features for visual servoing.
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