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In this paper, the uncalibrated visual servoing problem of robot manipulators with motor dynamics will be addressed for the fixed-camera configuration. A new adaptive image-space visual servoing strategy is presented to handle uncertainties in the camera intrinsic and extrinsic parameters, robot kinematic and dynamic parameters, and motor dynamic parameters. To deal with the nonlinear dependence of...
Uncalibrated visual servoing techniques based on the depth-independent interaction matrix framework have been proposed for the general 3D motion control of robot manipulators, which can simultaneously handle both the unknown intrinsic and extrinsic camera parameters. By extending the existing adaptive eye-in-hand visual servoing approach based on the depth-independent interaction matrix, in this paper,...
This paper presents a new adaptive controller for visual servoing of robot manipulators based on the concept of depth-independent interaction matrix. By mapping the image error onto the joint space using the depth-independent interaction matrix, it is possible to make the unknown 3-D coordinates of the feature points linearly appear in the closed-loop dynamics of the system, so the unknown coordinates...
This paper presents a novel adaptive controller for image-based visual servoing of robots with an eye-in-hand camera using angle and distance features. The key idea lies in the development of the depth-independent interaction matrix and the proposal of an adaptive algorithm for estimating the unknown geometric parameters of the features in the 3-D space. The Lyapunov theory is used to prove the asymptotic...
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