Adaptive visual servoing with an uncalibrated camera using extreme learning machine and Q-leaning
Tài liệu tham khảo
Cai, 2016, Orthogonal image features for visual servoing of a 6-DOF manipulator with uncalibrated stereo cameras, IEEE Trans. Rob., 32, 452, 10.1109/TRO.2016.2535443
Tsai, 2015, A hybrid switched reactive-based visual servo control of 5-DOF robot manipulators for pick-and-place tasks, IEEE Syst. J., 9, 119, 10.1109/JSYST.2014.2358876
Li, 2016, Vision-based model predictive control for steering of a nonholonomic mobile robot, IEEE Trans. Control Syst. Technol., 24, 553
Liang, 2015, Adaptive image-based trajectory tracking control of wheeled mobile robots with an uncalibrated fixed camera, IEEE Trans. Control Syst. Technol., 23, 2266, 10.1109/TCST.2015.2411627
Wang, 2014, Visual servoing trajectory tracking of nonholonomic mobile robots without direct position measurement, IEEE Trans. Rob., 30, 1026, 10.1109/TRO.2014.2317891
Zhang, 2018, Unified visual servoing tracking and regulation of wheeled mobile robots with an uncalibrated camera, IEEE/ASME Trans. Mechatron., 23, 1728, 10.1109/TMECH.2018.2836394
Thomas, 2016, Visual servoing of quadrotors for perching by hanging from cylindrical objects, IEEE Robot. Autom. Lett., 1, 57, 10.1109/LRA.2015.2506001
Islam, 2015, Robust control of four-rotor unmanned aerial vehicle with disturbance uncertainty, IEEE Trans. Ind. Electron., 62, 1563, 10.1109/TIE.2014.2365441
Gao, 2016, Hierarchical model predictive image-based visual servoing of underwater vehicles with adaptive neural network dynamic control, IEEE Trans. Cybern., 46, 2323, 10.1109/TCYB.2015.2475376
Gracias, 2003, Mosaic-based navigation for autonomous underwater vehicles, IEEE J. Oceanic Eng., 28, 609, 10.1109/JOE.2003.819156
Zhang, 2011, Visual tracking via dynamic tensor analysis with mean update, Neurocomputing, 74, 3277, 10.1016/j.neucom.2011.05.006
Hennig, 2002, Stochastic resonance in visual cortical neurons: does the eye-tremor actually improve visual acuity, Neurocomputing, 44–46, 115, 10.1016/S0925-2312(02)00371-5
Wilson, 1996, Relative end-effector control using cartesian position based visual servoing, IEEE Trans. Robot. Autom., 12, 684, 10.1109/70.538974
Park, 2012, Novel position-based visual servoing approach to robust global stability under field-of-view constraint, IEEE Trans. Ind. Electron., 59, 4735, 10.1109/TIE.2011.2179270
Hashimoto, 1991, Manipulator Control with Image-based Visual Servo
Espiau, 1992, A new approach to visual servoing in robotics, IEEE Trans. Robot. Autom., 8, 313, 10.1109/70.143350
Chaumette, 2007, Visual servo control. II. advanced approaches, IEEE Robot. Autom. Mag., 14, 109, 10.1109/MRA.2007.339609
Corke, 2017
Malis, 2002, 2 1/2 D visual servoing, IEEE Trans. Robot. Automa., 15, 238, 10.1109/70.760345
Janabi-Sharifi, 2011, Comparison of basic visual servoing methods, IEEE/ASME Trans. Mechatron., 16, 967, 10.1109/TMECH.2010.2063710
Chaumette, 2006, Visual servo control. i. basic approaches, IEEE Robot. Autom. Mag., 13, 82, 10.1109/MRA.2006.250573
Goncalves, 2008, Uncalibrated eye-to-hand visual servoing using inverse fuzzy models, IEEE Trans. Fuzzy Syst., 16, 341, 10.1109/TFUZZ.2007.896226
Liu, 2017, Adaptive visual tracking control for manipulator with actuator fuzzy dead-zone constraint and unmodeled dynamic, IEEE Trans. Syst. Man Cybern. Syst., 45, 1301, 10.1109/TSMC.2015.2420037
Zhong, 2013, Robust kalman filtering cooperated elman neural network learning for vision-sensing-based robotic manipulation with global stability, Sensors, 13, 13464, 10.3390/s131013464
Miljković, 2013, Neural network reinforcement learning for visual control of robot manipulators, Expert Syst. Appl., 40, 1721, 10.1016/j.eswa.2012.09.010
Zhang, 2018, A neural controller for image-based visual servoing of manipulators with physical constraints, IEEE Trans. Neural Netw. Learn. Syst., 29, 5419, 10.1109/TNNLS.2018.2802650
Gao, 2015, Adaptive neural network visual servo control for dynamic positioning of underwater vehicles, Neurocomputing, 167, 604, 10.1016/j.neucom.2015.04.028
Yüksel, 2017, Intelligent visual servoing with extreme learning machine and fuzzy logic, Expert Syst. Appl., 72, 344, 10.1016/j.eswa.2016.10.048
Xu, 2017, Partially decoupled image-based visual servoing using different sensitive features, IEEE Trans. Syst. Man Cybern. Syst., 47, 2233, 10.1109/TSMC.2016.2641951
Watanabe, 2008, Image-based visual PID control of a micro helicopter using a stationary camera
Wang, 2018, Adaptive integral terminal sliding mode control for automobile electronic throttle via an uncertainty observer and experimental validation, IEEE Trans. Veh. Technol., 67, 8129, 10.1109/TVT.2018.2850923
Jin, 2018, Adaptive fault-tolerant consensus for a class of uncertain nonlinear second-order multi-agent systems with circuit implementation, IEEE Trans. Circuits Syst. I Regul. Pap., 65, 2243, 10.1109/TCSI.2017.2782729
Wang, 2018, Continuous fast nonsingular terminal sliding mode control of automotive electronic throttle systems using finite-time exact observer, IEEE Trans. Ind. Electron., 65, 7160, 10.1109/TIE.2018.2795591
Shi, 2018, Decoupled visual servoing with fuzzy q-learning, IEEE Trans. Ind. Inf., 14, 241, 10.1109/TII.2016.2617464
Hagen, 2003, Neural q-learning, Neural Comput. Appl., 12, 81, 10.1007/s00521-003-0369-9
Shi, 2018, Adaptive image-based visual servoing with temporary loss of the visual signal, IEEE Trans. Ind. Inf.