Hui Yu, Anwen Shen, and Yansen Su


  1. [1] H. Yu, A. Shen, and L. Peng, A new Autonomous UnderwaterRobotic Fish designed for water quality monitoring, 2012 Proc.of International Conf. on Modelling, Identification & Control(ICMIC), Wuhan, China, 2012, 561–566.
  2. [2] J. Oyekan, B. Lu, H. Hu, and D. Gu, Using CFD in RoboticSimulators for pollution monitoring, 2011 3rd Computer Sci-ence and Electronic Engineering Conference (CEEC), Colch-ester, England, 2011, 92–97.
  3. [3] C. Kunz, C. Murphy, R. Camilli, H. Singh et al., Deep seaunderwater robotic exploration in the ice-covered arctic oceanwith AUVs, IEEE/RSJ International Conference on IntelligentRobots and Systems, 2008. IROS 2008, Nice, France, 2008,3654–3660.
  4. [4] M. Kemp, B. Hobson, J. Meyer, R. Moody et al., Masa:a multi-auv underwater search and data acquisition system,OCEANS’02 MTS/IEEE, Biloxi, Mississippi, 2002, 311–315.
  5. [5] R. Marthiniussen, K. Vestgard, R. A. Klepaker, and N.Storkersen, HUGIN-AUV concept and operational experiencesto date, OCEANS’04. MTTS/IEEE TECHNO-OCEAN’04,Kobe, Japan, 2004, 846–850.
  6. [6] S. Garrido, L. Moreno, and P.U. Lima, Robot formation mo-tion planning using Fast Marching, Robotics and AutonomousSystems, 59(9), 2011, 675–683.
  7. [7] J.V. G´omez, A. Lumbier, S. Garrido, and L. Moreno, Planningrobot formations with fast marching square including uncer-tainty conditions, Robotics and Autonomous Systems, 61(2),2013, 137–152.
  8. [8] P.-Y. Wu, D. Campbell, and T. Merz, Multi-objective four-dimensional vehicle motion planning in large dynamic environ-ments, IEEE Transactions on Systems, Man, and Cybernetics,Part B: Cybernetics, 41(3), 2011, 621–634.
  9. [9] S.-H. Tsaur, T.-Y. Chang, and C.-H. Yen, The evaluation ofairline service quality by fuzzy MCDM, Tourism Management,23(2), 2002, 107–115.
  10. [10] K.P. Carroll, S.R. McClaran, E.L. Nelson, D.M. Barnettet al., AUV path planning: An A approach to path planningwith consideration of variable vehicle speeds and multiple,overlapping, time-dependent exclusion zones, Proc. of the 1992Symposium on Autonomous Underwater Vehicle Technology,1992. AUV’92, Washington, DC, 1992, 79–84.
  11. [11] C.W. Warren, A technique for autonomous underwater vehicleroute planning, IEEE Journal of Oceanic Engineering, 15(3),1990, 199–204.
  12. [12] N.K. Yilmaz, C. Evangelinos, P. Lermusiaux, and N.M. Pa-trikalakis, Path planning of autonomous underwater vehiclesfor adaptive sampling using mixed integer linear programming,IEEE Journal of Oceanic Engineering, 33(4), 2008, 522–537.
  13. [13] M.P. Aghababa, 3D path planning for underwater vehiclesusing five evolutionary optimization algorithms avoiding staticand energetic obstacles, Applied Ocean Research, 38, 2012,48–62.
  14. [14] D.B. Fogel, Evolutionary computation: Toward a new philos-ophy of machine intelligence, 3rd ed. (Piscataway, NJ: Wiley-IEEE Press, 2005).
  15. [15] C.V. Caldwell, D.D. Dunlap, and E.G. Collins, Applicationof sampling based model predictive control to an autonomousunderwater vehicle, Ship Science & Technology, 4(7), 2010,55–64.
  16. [16] Y. Petillot, I. Tena Ruiz, and D.M. Lane, Underwater vehicleobstacle avoidance and path planning using a multi-beamforward looking sonar, IEEE Journal of Oceanic Engineering,26(2), 2001, 240–251.
  17. [17] S.M. LaValle, Planning algorithms, 1st ed. (U.K.: CambridgeUniversity Press, 2006).
  18. [18] B. Garau, A. Alvarez, and G. Oliver, Path planning of au-tonomous underwater vehicles in current fields with complexspatial variability: An A approach, Proc. of the 2005 IEEEInternational Conf. on Robotics and Automation, 2005. ICRA2005. Barcelona, Spain, 2005, 194–198.
  19. [19] S. Koenig and M. Likhachev, Incremental A, Neural Informa-tion Processing Systems: Natural and Synthetic, Vancouver,British Columbia, Canada, 2001, 1539–1546.
  20. [20] A. Stentz, The focussed D algorithm for real-time replanning,IJCAI, Montreal, Quebec, Canada, 1995, 1652–1659.
  21. [21] S. Koenig and M. Likhachev, Fast replanning for navigationin unknown terrain, IEEE Transactions on Robotics, 21(3),2005, 354–363.
  22. [22] M. Pivtoraiko and A. Kelly, Generating near minimal spanningcontrol sets for constrained motion planning in discrete statespaces, 2005 IEEE/RSJ International Conf. on IntelligentRobots and Systems, 2005 (IROS 2005). Edmonton, Alberta,Canada, 2005, 3231–3237.
  23. [23] C. Petres, Y. Pailhas, P. Patron, Y. Petillot et al., Path planningfor autonomous underwater vehicles, IEEE Transactions onRobotics, 23(2), 2007, 331–341.
  24. [24] J.A. Sethian, Level set methods and fast marching methods:Evolving interfaces in computational geometry, fluid mechan-ics, computer vision, and materials science (U.K.: CambridgeUniversity Press, 1999).
  25. [25] E. Rouy and A. Tourin, A viscosity solutions approach toshape-from-shading, SIAM Journal on Numerical Analysis,29(3), 1992, 867–884.
  26. [26] S.K. Godunov, A difference method for numerical calculationof discontinuous solutions of the equations of hydrodynamics,Matematicheskii Sbornik, 89(3), 1959, 271–306.
  27. [27] G. Barles, and P.E. Souganidis, Convergence of approximationschemes for fully nonlinear second order equations, AsymptoticAnalysis, 4(3), 1991, 271–283.
  28. [28] J.A. Sethian and A. Vladimirsky, Ordered upwind methodsfor static Hamilton–Jacobi equations: Theory and algorithms,SIAM Journal on Numerical Analysis, 41(1), 2003, 325–363.
  29. [29] D.V. Winterfeldt and G.W. Fischer, Multi-attribute utility the-ory: Models and assessment procedures (Michigan: Springer,1975).
  30. [30] M.M. K¨oksalan, J. Wallenius, and S. Zionts, Multiple criteriadecision making: From early history to the 21st century(Singapore: World Scientific, 2011).203
  31. [31] J. Olsen, Realtime procedural terrain generation, Departmentof Mathematics and Computer Science (IMADA), Univ. South-ern Denmark, 2004.
  32. [32] Y. Koren and J. Borenstein, Potential field methods and theirinherent limitations for mobile robot navigation, Proc. 1991IEEE International Conf. on Robotics and Automation, 1991,Sacramento, CA, 1991, 1398–1404.

Important Links:

Go Back