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Formation control experiments are performed using two robots, each equipped with a camera. When both robots are fully informed of the reference velocity, a decentralized feedback control, which achieves the desired relative position and the reference velocity, is experimentally verified. Another adaptive design is implemented in the situation where only one robot has the full reference velocity information...
We describe a navigation and coverage system based on unsupervised learning driven by visual input. Our objective is to allow a robot to remain continuously moving above a terrain of interest using visual feedback to avoid leaving this region. As a particular application domain, we are interested in doing this in open water, but the approach makes few domain-specific assumptions. Specifically, our...
This paper is concerned with the inverse kinematic control of a 6 DOF robot manipulator using visual feedback. Two different frameworks have been proposed to learn the inverse kinematics of the manipulator. In the first framework, the robot work-space has been discretized using a priori fixed number of fuzzy regions. Within each fuzzy region, the inverse kinematic relationship from image plane as...
In this paper, chess-type plane is used as calibration patterns, and the camera is calibrated by utilizing linear camera model with sub-pixel precision, we propose an improved algorithm used to locate the position with the visual information. The new method is based on improved SUSAN detecting and is combined with quick image matching which is used to get the coordinates of the end executor of the...
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