X. Yang, M. Moallem, and R.V. Patel


  1. [1] J. Latombe, Robot motion planning (Norwell, MA: Kluwer,1991).
  2. [2] M. Kaufman, An architecture for intelligent reactive system,in M. Georgeoff & A. Lansky (Eds.), Reasoning about actionsand plans, San Francisco, CA, 1987.
  3. [3] E. Gat, Reliable goal-directed reactive control for real-worldautonomous mobile robots, doctoral diss., Virginia PolytechnicInstitute and State University, Blacksburg, VA, 1991.
  4. [4] J. Yen & N. Pfluger, Path planning and execution using fuzzylogic, AIAA Guidance, Navigation and Control Conference,New Orleans, LA, August 1991, 1691–1698.
  5. [5] P. Reignier, Fuzzy logic techniques for mobile robot obsta-cle avoidance, Robotics and Autonomous Systems, 12, 1994,143–153. doi:10.1016/0921-8890(94)90021-3
  6. [6] J. Yen & N. Pfluger, A fuzzy logic based extension to Paytonand Rosenblatt’s command fusion method for mobile robotnavigation, IEEE Trans. Systems, Man, and Cybernetics,25(6), 1995, 971–978. doi:10.1109/21.384260
  7. [7] E.W. Tunstel, Adaptive hierarchy of distributed fuzzy con-trol: Application to behavior control of rovers, doctoral diss.,University of New Mexico, Albuquerque, NM, 1996.
  8. [8] A. Saffiotti, The uses of fuzzy logic in autonomous robotnavigation, Soft Computing, 1, 1997, 180–197.139
  9. [9] M.B. Montaner & A.R. Serrano, Fuzzy knowledge-based con-troller design for autonomous robot navigation, Expert Systemswith Application, 14, 1998, 179–186. doi:10.1016/S0957-4174(97)00059-6
  10. [10] H. Maaref & C. Barret, Sensor-based fuzzy navigation of anautonomous mobile robot in an indoor environment, ControlEngineering Practice, 8, 2000, 747–768. doi:10.1016/S0967-0661(99)00200-2
  11. [11] L. Doitsodis, K.P. Valavanis, & N.C. Tsourveloudis, Fuzzylogic based autonomous skid steering vehicle navigation, IEEEInt. Conf. on Robotics and Automation, Washington, DC, May2002, 2171–2177. doi:10.1109/ROBOT.2002.1014861
  12. [12] D.K. Pratihar, K. Dep, & A. Ghosh, A genetic-fuzzy ap-proach for mobile robot navigation among moving obstacles,International Journal of Approximate Reasoning, 20, 1999,145–172. doi:10.1016/S0888-613X(98)10026-9
  13. [13] N.C. Tsourveloudis, K.P. Valavanis, & T. Hebert, Autonomousvehicle navigation utilizing electrostatic potential fields andfuzzy logic, IEEE Trans. on Robotics and Automation, 17(4),2001, 490–497. doi:10.1109/70.954761
  14. [14] J.S. Wang & C.S. Lee, Self-adaptive recurrent neural-fuzzycontrol for an autonomous underwater vehicle, IEEE Int. Conf.on Robotics and Automation, Washington, DC, May 2002,1095–1100. doi:10.1109/ROBOT.2002.1014689
  15. [15] V.J. Lumelsky & T. Skewis, Incorporating range sensing in therobot navigation function, IEEE Trans. Systems, Man, andCybernetics, 20, 1990, 1058–1068. doi:10.1109/21.59969
  16. [16] I. Kamon & E. Rivlin, Sensory-based motion planning withglobal proofs, IEEE Trans. Robotics and Automation, 13(6),1997, 814–822. doi:10.1109/70.650160
  17. [17] H. Noborio, T. Yoshioka, & S. Yominaga, On the sensor-basednavigation by changing a direction to follow an encounteredobstacle, IEEE/RSJ Int. Conf. on Intelligent Robots andSystems, Grenoble, France, 1997, 814–822. doi:10.1109/IROS.1997.655060
  18. [18] T. Yata, L. Kleeman, & S. Yuta, Wall following using angleinformation measured by a single ultrasonic transducer, IEEEInt. Conf. on Robotics and Automation, Leuven, Belgium,1998, 1590–1596. doi:10.1109/ROBOT.1998.677372
  19. [19] S.S. Ge & Y.J. Cui, New potential functions for mobile robotpath planning, IEEE Trans. on Robotics and Automation, 16,October 2000, 615–620. doi:10.1109/70.880813
  20. [20] S. Ratering & M. Gini, Robot navigation in a known environ-ment with unknown obstacles, Autonomous Robots, 1, 1995,149–165. doi:10.1007/BF00711254
  21. [21] Koala user’s manual (Version 2.0) (Lausanne, Switzerland:K-Team S.A., 2001).
  22. [22] C.C. Lee, Fuzzy logic in control systems: Fuzzy logic controller,Part 1, IEEE Trans. on Systems, Man, and Cybernetics, 20,1990, 404–418. doi:10.1109/21.52551
  23. [23] R. Langari & M. Tomizuka, Analysis and synthesis of fuzzylinguistic control systems, Intelligent Control, 23, 1990, 35–42.
  24. [24] N. Pfluger, J. Yen, & R. Langari, A defuzzification strategy fora fuzzy logic controller employing prohibitive information incommand formulation, 1st IEEE Int. Conf. on Fuzzy Systems,San Diego, CA, March 1992, 717–723. doi:10.1109/FUZZY.1992.258746

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