Feihu Sun, Junzhi Yu, Peng Zhao, and De Xu


  1. [1] NOOA, Ocean, (accessedOct. 10, 2014).
  2. [2] J. Horgan and D. Toal, Review of machine vision applicationsin unmanned underwater vehicles, Proceedings of the 9th In-ternational Conference on Control, Automation, Robotics andVision, Singapore, 2006, 1675–1680.
  3. [3] A.T. Celebi and S. Erturk, Visual enhancement of underwaterimages using empirical mode decomposition, Expert Systemswith Applications, 39(1), 2012, 800–805.
  4. [4] R.M. Eustice, O. Pizarro, and H. Singh, Visually augmentednavigation for autonomous underwater vehicles, IEEE Journalof Oceanic Engineering, 33(2), 2008, 103–122.
  5. [5] N.R. Gracias, S. Van Der Zwaan, A. Bernardino, and J. Santos-Victor, Mosaic-based navigation for autonomous underwatervehicles, IEEE Journal of Oceanic Engineering, 28(4), 2003,609–624.
  6. [6] E. Simetti, G. Casalino, S. Torelli, A. Sperinde, et al., Floatingunderwater manipulation: Developed control methodology andexperimental validation within the trident project, Journal ofField Robotics, 31(3), 2014, 364–385.
  7. [7] J. Yu, K. Wang, M. Tan, and J. Zhang, Design and control ofan embedded vision guided robotic fish with multiple controlsurfaces, The Scientific World Journal, 2014, Article ID 631296,2014.
  8. [8] Y. Takada, K. Koyama, and T. Usami, Position estimationof small robotic fish based on camera information and gyrosensors, Robotics, 3(2), 2014, 149–162.
  9. [9] Y. Hu, W. Zhao, G. Xie, and L. Wang, Development and targetfollowing of vision-based autonomous robotic fish, Robotica,27(7), 2009, 1075–1089.
  10. [10] Y. Hu, W. Zhao, and L. Wang, Vision-based target trackingand collision avoidance for two autonomous robotic fish, IEEETransactions on Industrial Electronics, 56(5), 2009, 1401–1410.
  11. [11] Z. Su, J. Yu, M. Tan, and J. Zhang, Implementing flexi-ble and fast turning maneuvers of a multijoint robotic fish,IEEE/ASME Transactions on Mechatronics, 19(1), 2014,329–338.
  12. [12] F. Sun, J. Yu, D. Xu, and M. Wang, Target tracking of roboticfish based on embedded vision and CPG model, Proc. IEEEConf. on Information and Automation (ICIA), Yinchuan,China, 2013, 1206–1211.
  13. [13] J. Yu, M. Tan, S. Wang, and E. Chen, Development ofa biomimetic robotic fish and its control algorithm, IEEETransactions on Systems, Man, and Cybernetics, Part B:Cybernetics, 34(4), 2004, 1798–1810.
  14. [14] C. Zhou, Z. Cao, S. Wang, and M. Tan, The design, modellingand implementation of a miniature biomimetic robotic fish,International Journal of Robotics & Automation, 25(3), 2010,210–216.
  15. [15] D.G. Mackean, Fish-structure and function, (accessed Oct. 10, 2014).
  16. [16] Z. Wu, J. Yu, and M. Tan, CPG parameter search for abiomimetic robotic fish based on particle swarm optimization,Proc. IEEE Conf. on Robotics and Biomimetics (ROBIO),Guangzhou, China, 2012, 563–568.
  17. [17] A.J. Ijspeert, Central pattern generators for locomotion controlin animals and robots: A review, Neural Networks, 21(4),2008, 642–653.
  18. [18] I.I. Za’balawi, L.C. Kiong, W.E. Kiong, and S. Senanayake,Global entrainment effect on biped robot locomotion energy,International Journal of Robotics & Automation, 24(4), 2009,319–337.
  19. [19] D.S. Barrett, M.S. Triantafyllou, D.K.P. Yue, M.A. Grosen-baugh, et al., Drag reduction in fish-like locomotion, Journalof Fluid Mechanics, 392,1999, 183–212.
  20. [20] M. Lighthill, Note on the swimming of slender fish, Journal offluid Mechanics, 9(2), 1960, 305–317.
  21. [21] J. Liu and H. Hu, Biological inspiration: From carangiformfish to multi-joint robotic fish, Journal of Bionic Engineering,7(1), 2010, 35–48.
  22. [22] F. Sun, J. Yu, and D. Xu, Stability control for the head of abiomimetic robotic fish with embedded vision, Robot, 37(2),2015, 188–195.
  23. [23] R. Schettini and S. Corchs, Underwater image processing:State of the art of restoration and image enhancement methods,EURASIP Journal on Advances in Signal Processing, 2010(1),2010, 746052.
  24. [24] Y. Freund and R.E. Schapire, A decision-theoretic generaliza-tion of on-line learning and an application to boosting, Journalof Computer and System Sciences, 55(1), 1997, 119–139.
  25. [25] L. Wen, T. Wang, G. Wu, J. Liang, et al., Novel method forthe modeling and control investigation of efficient swimmingfor robotic fish, IEEE Transactions on Industrial Electronics,59(8), 2012, 3176–3188.

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