Trifocal Tensor-Based Adaptive Visual Trajectory Tracking Control of Mobile Robots
Published in IEEE Transactions on Cybernetics, 2017
BibTeX
```bibtex @ARTICLE{JiaSMC2016, author={J. Chen and B. Jia and \textbf{K.~Zhang} }, journal={IEEE Transactions on Cybernetics}, title={Trifocal Tensor-Based Adaptive Visual Trajectory Tracking Control of Mobile Robots}, year={2017}, volume={47}, number={11}, pages={3784-3798}, keywords={Lyapunov methods;adaptive control;cameras;control system synthesis;feedback;mobile robots;object tracking;pose estimation;robot vision;tensors;trajectory control;visual servoing;Lyapunov methods;V-REP;adaptive visual trajectory tracking control;control strategy;control system;extrinsic parameters;mobile robots;nonholonomic mobile robot;orientation information;pose regulation;prerecorded image set;roughly installed monocular camera;scaled position information;trifocal tensor;virtual experimentation platform;visual feedback;visual information;visual servo system;Mobile robots;Tensile stress;Trajectory;Visualization;Mobile robot;trifocal tensor;visual trajectory tracking}, ISSN={2168-2267}, month={November} } ```Recommended citation: J. Chen, B. Jia, and K. Zhang. "Trifocal Tensor-Based Adaptive Visual Trajectory Tracking Control of Mobile Robots." IEEE Transactions on Cybernetics. 2017.
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