Robot Manipulator Visual Servoing via Kalman Filter- Optimized Extreme Learning Machine and Fuzzy Logic |
Zhou, Zhiyu
(School of Information Science and Technology, Zhejiang Sci-Tech University)
Hu, Yanjun (School of Information Science and Technology, Zhejiang Sci-Tech University) Ji, Jiangfei (School of Information Science and Technology, Zhejiang Sci-Tech University) Wang, Yaming (Lishui University) Zhu, Zefei (School of Mechanical Engineering, Hangzhou Dianzi University) Yang, Donghe (School of Information Science and Technology, Zhejiang Sci-Tech University) Chen, Ji (School of Information Science and Technology, Zhejiang Sci-Tech University) |
1 | W. Li, C. Song, Z. Li, "An accelerated recurrent neural network for visual servo control of a robotic flexible endoscope with joint limit constraint," IEEE Transactions on Industrial Electronics, vol. 67, no. 12, pp. 10787-10797, Dec. 2020. DOI |
2 | Z. Zhou, R. Zhang, Z. Zhu, "Robust Kalman filtering with LSTM for image-based visual servo control," Multimedia Tools and Applications, vol. 78, no. 18, pp. 26341-26371, Sep. 2019. DOI |
3 | G. Q. Dong, Z. H. Zhu, "Position-based visual servo control of autonomous robotic manipulators," Acta Astronautica, vol. 115, pp. 291-302, Oct-Nov. 2015. DOI |
4 | Gossaye Mekonnen, Sanjeev Kumar, P.M. Pathak, "Wireless hybrid visual servoing of omnidirectional wheeled mobile robots," Robotics and Autonomous Systems, vol. 75, pp. 450-462,Jan, 2016, DOI |
5 | O. Araar, N. Aouf, "A new hybrid approach for the visual servoing of VTOL UAVs from unknown geometries," in Proc. of the IEEE 22nd Mediterranean Conference on Control and Automation, pp. 1425-1432, 2014. |
6 | R. E. Kalman, "A new approach to linear filtering and prediction problems," J. Basic Eng, vol. 82, pp. 35-45, 1960. DOI |
7 | S. Y. Chen, "Kalman filter for robot vision: a survey," IEEE Trans. Ind. Electron, vol. 59, no. 11, pp. 4409-4420, Nov. 2012. DOI |
8 | G. B. Huang, Q. Y. Zhu, C. K. Siew, "Extreme learning machine: Theory and applications," Neurocomputing, vol. 70, pp. 489-501, Dec. 2006. DOI |
9 | X. Lv, X. Huang, "Fuzzy adaptive Kalman filtering based estimation of image Jacobin for uncalibrated visual servoing," in Proc. of the IEEE/RSJ/GI Conference Intelligent Robots and Systems, pp. 2167-2172, Oct. 2006. |
10 | Tolga Yuksel, "Intelligent visual servoing with extreme learning machine and fuzzy logic," Expert Systems with Applications, vol. 72, pp. 344-356, 2017. DOI |
11 | X. G. Zhong, X. Y. Zhong, X. F. Peng, "Robots visual servo control with features constraint employing Kalman-neural-network filtering scheme," Neurocomputing, vol. 151, pp. 268-277, May. 2015. DOI |
12 | Z. Miljkovic, M. Mitic, M. Lazarevic, B. Babic, "Neural network reinforcement learning for visual control of robot manipulators," Expert Systems with Applications, vol. 40, no. 5, pp. 1721-1736, Apr. 2013. DOI |
13 | Maxwell Hwang, Yu-Jen Chen, Ming-Yi Ju, Wei-Cheng Jiang, "A fuzzy CMAC learning approach to image based visual servoing system," Information Sciences, vol.576, pp.187-203, 2021, DOI |
14 | Jinhui Wu, Zhehao Jin, Andong Liu, Li Yu, Fuwen Yang, "A survey of learning-based control of robotic visual servoing systems," Journal of the Franklin Institute, vol. 359, pp. 556-577, 2022. DOI |
15 | G. B. Huang, L. Chen, C. K. Siew, "Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes," IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006. DOI |
16 | Y. Zhang, G. Zhao, G., J. Sun, "Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and jaya algorithm," Multimedia Tools and Applications, vol. 77, no. 17, pp. 22629-22648, Sep. 2018. DOI |
17 | G. B. Huang, H. M. Zhu, X. J. Ding, R. Zhang, "Extreme learning machine for regression and multiclass classification," IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 42 no. 2, pp. 513-529, Apr. 2012. DOI |
18 | Wilson, W.J., Hulls, C.C.W. and Bell, G.S., "Relative end-effector control using cartesian positionbased visual servoing," IEEE Transactions on Robotics and Automation, vol. 12, pp. 684-696, 1996. DOI |
19 | J. Qian, J. B. Su, "On-line estimation of image Jacobian matrix based on Kalman filter," Control and Decision, vol. 18, no. 1, pp. 77-80, Oct. 2003. DOI |
20 | F. Lizarralde, A. C. Leite, L. Hsu, R. R. Costa, "Adaptive visual servoing scheme free of image velocity measurement for uncertain robot manipulators," Automatica, vol. 49, no. 5, pp. 1304-1309, May. 2013. DOI |
21 | H. A. Junaid, "ANN based robotic arm visual servoing nonlinear system," Procedia Computer Science, vol. 62, pp. 23-30, 2015. DOI |
22 | Abdollahzadeh, B., F. S. Gharehchopogh, S. Mirjalili, "African vultures optimization algorithm: a new nature-inspired metaheuristic algorithm for global optimization problems," Computers & Industrial Engineering, vol. 158, Aug. 2021. |
23 | Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan and Ahmed Saad Hussein, "Multiview document clustering based on geometrical similarity measurement," International Joural of Machine Learning and Cybernetics, vol 13, pp.663-675, 2022. DOI |
24 | H. Sutanto, R. Sharma, V. Varma, "Image based autodocking without calibration," in Proc. of IEEE International Conference on Robotics and Automation, pp. 974-979, Apr. 1997. |
25 | S. R. Jang, C. T. Sun, "Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence," IEEE Transactions on Automatic Control, vol. 42, no. 10, pp. 1482-1484, Oct. 1997. DOI |
26 | B. Armstrong, O. Khatib, J. Burdick, "The explicit dynamic model and inertial parameters of the PUMA 560 arm," IEEE international conference on robotics and automation, pp. 510-518, Apr. 1986. |
27 | G. Chesi, Y. S. Hung, "Global path-planning for constrained and optimal visual servoing," IEEE Transactions on Robotics, vol. 23, no. 5, pp. 1050-1060, Oct. 2007. DOI |
28 | P. I. Corke, "Robotics, vision and control: Fundamental algorithms in MATLAB," Springer, 2011. |
29 | Cui L, Wang H, Liang X, Wang J, Chen W, "Visual servoing of a flexible aerial refueling boom with an eye-in-hand camera," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 10, pp. 6282-6292, Oct. 2021. DOI |
30 | Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo and Hongjun Wang, "Multi-view data clustering via non-negative matrix factorization with manifold regularization," International Joural of Machine Learning and Cybernetics, vol.13, pp. 677-689, 2022. DOI |
31 | Xianxia Zhang, Jinqiang Zhang, Zhiyuan Li, Shiwei Ma and Banghua Yang, "Visual feedback fuzzy control for a robot manipulator based on SVR learning," Journal of System Simulation, vol. 32, no. 10, 2020. |
32 | J. Dong, J Zhang, "A new imaged-based visual servoing method with velocity direction control," J. Franklin. Inst, vol. 357, no. 7, pp. 3993-4007, 2020. DOI |
33 | X. Ren, H. Li, Y. Li, "Image-based visual servoing control of robot manipulators using hybrid algorithm with feature constraints," IEEE Access, vol. 8, pp. 223495-223508, 2020. DOI |
34 | S. Kagami, K. Omi, K. Hashimoto, "Alignment of a flexible sheet object with position- based and image-based visual servoing," Advanced Robotics, vol. 30, no. 15, pp. 965-978, 2016. DOI |
35 | Z. Zhou, B. Wu, "Adaptive sliding mode control of manipulators based on fuzzy random vector function links for friction compensation," OPTIK, vol. 227, Feb. 2021. |
36 | Y. Wang, G. L. Zhang, H. X. Lang, B. S. Zuo, C. W. Silva, "A modified image-based visual servo controller with hybrid camera configuration for robust robotic grasping," Robotics and Autonomous Systems, vol. 62, no. 10, pp. 1398-1407, Oct. 2014. DOI |
37 | Yaozhen He, Jian Gao, Yimin Chen, "Deep learning-based pose prediction for visual servoing of robotic manipulators using image similarity," Neurocomputing, vol. 491, pp. 343-352, 2022. DOI |
38 | T. Drummond, R. Cipolla, "Real-time tracking of complex structures with on-line camera calibration," Image & Vision Computing, vol. 20, pp. 427-433, Apr. 2002. DOI |
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