Applications of dynamic monocular machine vision
Machine Vision and Applications
Adaptive control: stability, convergence, and robustness
Adaptive control: stability, convergence, and robustness
Three-dimensional camera space manipulation
International Journal of Robotics Research
Geometric invariance in computer vision
Geometric invariance in computer vision
Eye-to-hand coordination for vision-guided robot control applications
International Journal of Robotics Research
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Visual grasping with long delay time of a free floating object in orbit
Autonomous Robots
Dexterous robot manipulation
Self-Calibration of Stationary Cameras
International Journal of Computer Vision
International Journal of Computer Vision
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
The Confluence of Vision and Control
The Confluence of Vision and Control
Robot Control: The Task Function Approach
Robot Control: The Task Function Approach
What can be seen in three dimensions with an uncalibrated stereo rig
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Calibration-free visual control using projective invariance
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Vision-based control of uncertain systems
Vision-based control of uncertain systems
Logic-based switching algorithms in control
Logic-based switching algorithms in control
A Hierarchical Vision Architecture for Robotic Manipulation Tasks
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Precise Positioning of Binocular Eye-to-Hand Robotic Manipulators
Journal of Intelligent and Robotic Systems
Active, Foveated, Uncalibrated Stereovision
International Journal of Computer Vision
Active guidance of a handheld micromanipulator using visual servoing
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Multimedia Tools and Applications
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This article studies the following question: “When is itpossible to decide, on the basis of images of point-features observedby an imprecisely modeled two-camera stereo vision system, whether ornot a prescribed robot positioning task has been preciselyaccomplished?” Results are shown for three camera model classes:injective cameras, weakly calibrated projective cameras, anduncalibrated projective cameras. In particular, given a weaklycalibrated stereo pair, it is shown that a positioning task can beprecisely accomplished if and only if the task specification isinvariant to projective transformations. It is shown that injectiveand uncalibrated projective cameras can accomplish fewer tasks, butare still able to accomplish tasks involving point coincidences.The same formal framework is applied to the problem of determining the set of taskswhich can be precisely accomplished with the well-known position-based control architecture. It isshown that, for any class of camera models, the set of tasks which can be precisely accomplishedusing a position-based control architecture is a subset of the complete set of tasks which can bedecided on the set, but includes all positioning tasks based on point coincidences. Two ways ofextending the idea of position-based control to accomplish more tasks are also presented.