Probabilistic Fuzzy Control of Mobile Robots for Range Sensor Based Reactive Navigation

References

[1] S. Park and S. Hashimoto, “Autonomous Mobile Robot Navigation Using Passive RFID in Indoor Environment,” IEEE Transactions on Industrial Electronics, Vol. 56, No. 7, 2009, pp. 2366-2373.
doi:10.1109/TIE.2009.2013690

[2] C. Chen, H. X. Li and D. Dong, “Hybrid Control for Robot Navigation—A Hierarchical Q-Learning Algorithm,” IEEE Robotics & Automation Magazine, Vol. 15, No. 2, 2008, pp. 37-47.

[3] T. W. Manikas, K. Ashenayi and R. L. Wainwright, “Genetic Algorithms for Autonomous Robot Navigation,” IEEE Instrumentation & Measurement Magazine, Vol. 10, No. 6, 2007, pp. 26-31.
doi:10.1109/MIM.2007.4428579

[4] A. Foka and P. Trahanias, “Real-Time Hierarchical Pomdps for Autonomous Robot Navigation,” Robotics and Autonomous Systems, Vol. 55, No. 7, 2007, pp. 561-571. doi:10.1016/j.robot.2007.01.004

[5] J. A. Fernandez-Leon, G. G. Acosta and M. A. Mayosky, “Behavioral Control through Evolutionary Neurocontrollers for Autonomous Mobile Robot Navigation,” Robotics and Autonomous Systems, Vol. 57, No. 4, 2009, pp. 411-419. doi:10.1016/j.robot.2008.06.012

[6] A. M. Zhu and S. X. Yang, “Neurofuzzy-Based Approach to Mobile Robot Navigation in Unknown Environments,” IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews, Vol. 37, No. 4, 2007, pp. 610-621. doi:10.1109/TSMCC.2007.897499

[7] A. Elfes, “Sonar Based Real World Mapping and Navigation,” IEEE Journal of Robotics and Automation, Vol. RA-3, No. 3, 1987, pp. 249-265.
doi:10.1109/JRA.1987.1087096

[8] J. Borenstein and Y. Koren, “Real-Time Obstacle Avoidance for Fast Mobile Robot,” IEEE Transactions on Systems, Man and Cybernetics, Vol. 19, No. 5, 1989, pp. 1179-1187. doi:10.1109/21.44033

[9] R. A. Brooks, “A Robust Layered Control System for a Mobile Robot,” IEEE Journal of Robotics and Automation, Vol. 2, No. 1, 1986, pp.14-23.
doi:10.1109/JRA.1986.1087032

[10] M. F. Selekwa, D. D. Dunlap, D. Shi and E. G. Collins, “Robot Navigation in Very Cluttered Environments by Preference-Based Fuzzy Behaviors,” Robotics and Autonomous Systems, Vol. 56, No. 3, 2008, pp. 231-246.
doi:10.1016/j.robot.2007.07.006

[11] M. Wang and J. N. K. Liu, “Fuzzy Logic-Based Real-Time Robot Navigation in Unknown Environment,” Robotics and Autonomous Systems, Vol. 56, No. 7, 2008, pp. 625-643. doi:10.1016/j.robot.2007.10.002

[12] Sv. Noykov and Ch. Roumenin, “Calibration and Interface of a Polaroid Ultrasonic Sensor for Mobile Robots,” Sensors and Actuators A, Vol. 135, No. 1, 2007, pp. 169-178. doi:10.1016/j.sna.2006.07.006

[13] A. Brooks, A. Makarenko and B. Upcroft, “Gaussian Process Models for Indoor and Outdoor Sensor-Centric Robot Localization,” IEEE Transactions on Robotics, Vol. 24, No. 6, 2008, pp. 1341-1351.
doi:10.1109/TRO.2008.2004887

[14] T. Yang and V. Aitken, “Evidential Mapping for Mobile Robots with Range Sensors,” IEEE Transactions on Instrumentation and Measurement, Vol. 55, No. 4, 2006, pp. 1422-1429. doi:10.1109/TIM.2006.876399

[15] L. W. Finkelstein, “Strongly and Weakly Defined Measurement,” Measurement, Vol. 34, No. 1, 2003, pp. 39-48.
doi:10.1016/S0263-2241(03)00018-6

[16] Z. Godec, “Standard Uncertainty in Each Measurement Result Explicit or Implicit”, Measurement, Vol. 20, No. 2, 1997, pp. 97-101. doi:10.1016/S0263-2241(97)00020-1

[17] C. Chen, D. Dong, Z. Chen, H. Wang, “Grey Systems for Intelligent Sensors and Information Processing,” Journal of Systems Engineering and Electronics, Vol. 19, No. 4, 2008, pp. 659-665. doi:10.1016/S1004-4132(08)60135-8

[18] S. Thrun, “Probabilistic Algorithms in Robotics,” AI Magazine, Vol. 21, No. 4, 2000, pp. 93-109.

[19] D. Fox, W. Burgard, H. Kruppa and S. Thrun, “A Probabilistic Approach to Collaborative Multi-Robot Localization,” Autonomous Robots, Vol. 8, 2000, pp. 325-344.
doi:10.1023/A:1008937911390

[20] L. A. Zadeh, “Toward a Theory of Fuzzy Information Granulation and Its Centrality in Human Reasoning and Fuzzy Logic,” Fuzzy Sets and Systems, Vol. 90, No. 2, 1997, pp. 111-127. doi:10.1016/S0165-0114(97)00077-8

[21] J. Mendel and R. B. John, “Type-2 Fuzzy Sets Made Simple”, IEEE Transactions on Fuzzy Systems, Vol. 10, No. 2, 2002, pp. 117-127. doi:10.1109/91.995115

[22] J. M. Mendel, “Type-2 Fuzzy Sets and Systems: An Overview,” IEEE Computational Intelligence Magazine, Vol. 2, No. 1, 2007, pp.20-29.
doi:10.1109/MCI.2007.380672

[23] H. Hagras, “A Hierarchical Type-2 Fuzzy Logic Control Architecture for Autonomous Mobile Robots”, IEEE Transactions on Fuzzy Systems, Vol. 12, No. 4, 2004, pp. 524-539. doi:10.1109/TFUZZ.2004.832538

[24] C. F. Juang and Y. W. Tsao, “A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation,” IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, Vol. 38, No. 6, 2008, pp. 1537-1548. doi:10.1109/TSMCB.2008.927713

[25] Z. Liu and H. X. Li, “A Probabilistic Fuzzy Logic System for Modeling and Control,” IEEE Transactions on Fuzzy Systems, Vol. 13, No. 6, 2005, pp. 848-859.
doi:10.1109/TFUZZ.2005.859326

[26] H. X. Li and Z. Liu, “A Probabilistic Neural-Fuzzy Learning System for Stochastic Modeling,” IEEE Transactions on Fuzzy Systems, Vol. 16, No. 4, 2008, pp. 898-908. doi:10.1109/TFUZZ.2008.917302

[27] C. Chen, G. Rigatos and D. Dong, “Partial Feedback Control of Quantum Systems Using Probabilistic Fuzzy Estimator,” Proceedings of the 48th IEEE Conference on Decision and Control, Shanghai, 16-18 December 2009.

[28] S. Chen and C. Chen, “Probabilistic Fuzzy Logic System for Range Measurement,” The Mediterranean Journal of Measurement and Control, Vol. 5, No. 2, 2009, pp. 119-125.