D. Kim, A. A. Rizzi, G. H. Hager, and D. E. Koditschek, "A "robust" convergent visual servoing system," In Proc. International Conference on Intelligent Robots and Systems, vol. I, pp. 348--353, 1995. Home/Search Document Not in Database Summary Related Articles Check |
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Rigid Body Visual Servoing Using Navigation Functions - Cowan, Lopes, Koditschek (2000) (Correct)
....processing get faster, such restrictions become undesirable. Second, there usually exist spurious critical points introduced by the alignmentofy # y with the null space of J(q) # , and the absence of such spurious critical points is, to our knowledge, only guaranteed for a few cases [1,4,13]. Finally, there are many geometric problems associated with visual servoing such as losing sight of features due to ### self occlusions or #### leaving the camera nite eld of view (FOV) Usually these problems are ignored in analysis, and when encountered in practice simply cause the ....
D. Kim, A. A. Rizzi, G. D. Hager, and D. E. Koditschek. A \robust" convergent visual servoing system. In ############# ##### ## ########### ###### ### #######, Pittsburgh, PA, 1995. IEEE/RSJ.
Visual Servoing via Navigation Functions - Cowan, Weingarten, Koditschek (2002) (5 citations) Self-citation (Koditschek) (Correct)
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D. Kim, Alfred A. Rizzi, Gregory D. Hager, and Daniel E. Koditschek, "A "robust" convergent visual servoing system," in International Conf. on Intelligent Robots and Systems, Pittsburgh, PA, 1995, IEEE/RSJ.
Rigid Body Visual Servoing Using Navigation Functions - Noah Cowan Gabriel (2000) Self-citation (Koditschek) (Correct)
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D. Kim, A. A. Rizzi, G. D. Hager, and D. E. Koditschek. A "robust" convergent visual servoing system. In International Conf. on Intelligent Robots and Systems, Pittsburgh, PA, 1995. IEEE/RSJ.
Rigid Body Visual Servoing Using Navigation Functions - Cowan, Lopes, Koditschek (2000) Self-citation (Koditschek) (Correct)
....systems and processing get faster, such restrictions become undesirable. Second, there usually exist spurious critical points introduced by the alignment of y y with the null space of j(q)T, and the absence of such spurious critical points is, to our knowledge, only guaranteed for a few cases [1, 4, 13]. Finally, there are many geometric problems associated with visual servoing such as losing sight of features due to (i) self occlusions or (ii) leaving the camera finite field of view (FOV) Usually these prob lems are ignored in analysis, and when encountered in practice simply cause the system ....
D. Kim, A. A. Rizzi, G. D. Hager, and D. E. Koditschek. A "robust" convergent visual servoing system. In International Conf. on Intelligent Robots and Systems, Pittsburgh, PA, 1995. IEEE/RSJ.
Planar Image Based Visual Servoing as a Navigation Problem - Cowan, Koditschek (1999) (9 citations) Self-citation (Koditschek) (Correct)
....the same title in the 1999 ICRA Proceedings, Detroit, MI, was supported in part by the NSF under grant IRI 9510673. 1 Introduction Visual servoing describes a broad class of problems in which a robot is positioned with respect to a target using computer vision as the primary feedback sensor [3, 5, 6, 8, 13]. There are traditionally two approaches to visual servoing: 2D image based (IB) and 3D position based (PB) In image based visual servoing the control objective is to minimize the perceived error (i.e. image plane error) whereas the objective in positionbased visual servoing is to minimize the ....
....to calibration uncertainty than PB servoing, though to our knowledge this has never been formally justi ed. The disadvantage of IB servoing is that convergence is generally only guaranteed locally [17, 18] with the exception of a few algorithms for point positioning and estimation problems [8, 16]) Conversely, one easily speci es an essentially globally convergent controller using task space error coordinates, but when using PB servoing the controller must also avoid occlusions or risk losing site of the features necessary for pose estimation. 1.1 Motivation The long term aim of our ....
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D. Kim, A. A. Rizzi, G. D. Hager, and D. E. Koditschek. A \robust" convergent visual servoing system. In International Conf. on Intelligent Robots and Systems, Pittsburgh, PA, 1995. IEEE/RSJ.
Robust Visual Servoing based on Relative Orientation - Taylor, Ostrowski (1999) (10 citations) Self-citation (Robust) (Correct)
....right algorithms can be developed. In recent years, researchers have demonstrated that vision based schemes can be used to tackle a number of demanding control tasks like driving an autonomous car at high speeds on open roads [1] or controlling a manipulator in dextrous operations such as juggling [8]. Papanikolopoulos, Nelson, and Khosla [12] for example, have developed a visual tracking system that can track full 3 D motions, by utilizing a Jacobianbased adaptive controller that estimates the depth parameters online in order to track objects. More recent work by Papanikolopoulos has ....
D. Kim, A. Rizzi, G. D. Hager, and D. Koditschek. A "robust" convergent visual servoing system. In Proc. Int. Conf. Intelligent Robots and Systems, pages 348--353, 1995.
Multi-View Visual Servoing using Epipoles - Jacopo Piazzi Noah (2004) (Correct)
No context found.
D. Kim, A. A. Rizzi, G. H. Hager, and D. E. Koditschek, "A "robust" convergent visual servoing system," In Proc. International Conference on Intelligent Robots and Systems, vol. I, pp. 348--353, 1995.
Multi-View Visual Servoing using Epipoles - Jacopo Piazzi Noah (2004) (Correct)
No context found.
G. Hager, D. Kim, A. Rizzi, and D. Koditschek, "A "robust" convergent visual servoing system," in In Proceedings of the International Conference on Intelligent Robots and Systems, vol. 1, 1995, pp. 348--353.
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