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- W2466393651 abstract "In this paper, a trifocal tensor-based approach is proposed for the visual trajectory tracking task of a nonholonomic mobile robot equipped with a roughly installed monocular camera. The desired trajectory is expressed by a set of prerecorded images, and the robot is regulated to track the desired trajectory using visual feedback. Trifocal tensor is exploited to obtain the orientation and scaled position information used in the control system, and it works for general scenes owing to the generality of trifocal tensor. In the previous works, the start, current, and final images are required to share enough visual information to estimate the trifocal tensor. However, this requirement can be easily violated for perspective cameras with limited field of view. In this paper, key frame strategy is proposed to loosen this requirement, extending the workspace of the visual servo system. Considering the unknown depth and extrinsic parameters (installing position of the camera), an adaptive controller is developed based on Lyapunov methods. The proposed control strategy works for almost all practical circumstances, including both trajectory tracking and pose regulation tasks. Simulations are made based on the virtual experimentation platform (V-REP) to evaluate the effectiveness of the proposed approach." @default.
- W2466393651 created "2016-07-22" @default.
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- W2466393651 date "2017-11-01" @default.
- W2466393651 modified "2023-10-03" @default.
- W2466393651 title "Trifocal Tensor-Based Adaptive Visual Trajectory Tracking Control of Mobile Robots" @default.
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- W2466393651 doi "https://doi.org/10.1109/tcyb.2016.2582210" @default.
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