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Simulation and Experimental Evaluation of the EKF Simultaneous Localization and Mapping Algorithm on the Wifibot Mobile Robot


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[1] G. Bresson, R. Aufrre, R. Chapuis, A general consistent decentralized Simultaneous Localization And Mapping solution, Robotics and Autonomous Systems, Vol. 74, Part A, 2015, pp. 128–147.10.1016/j.robot.2015.07.008Search in Google Scholar

[2] G. Tuna, K. Gulez, V.C. Gungor and T.V. Mumcu, Evaluations of Different Simultaneous Localization and Mapping (SLAM) Algorithms, Conference on IEEE Industrial Electronics Society, 2012, pp. 2693–2698.10.1109/IECON.2012.6389151Search in Google Scholar

[3] H.P. LI, D.M. XU, F.B. ZHANG and Y. YAO, Consistency Analysis of EKF-based SLAM by Measurement Noise and Observation Times, Acta Automatica Sinica, Vol. 35, No. 9, 2009, pp. 1177–1184.10.3724/SP.J.1004.2009.01177Search in Google Scholar

[4] J. Cheng, J. Kim, J. Shao and W. Zhang, Robust linear pose graph-based SLAM, Robotics and Autonomous Systems, Vol. 72, 2015, pp. 71–82.10.1016/j.robot.2015.04.010Search in Google Scholar

[5] J.G. Kang, W.S. Choi, S.Y. An and S.Y. Oh, Augmented EKF based SLAM method for Improving the Accuracy of the Feature Map, International Conference on Intelligent Robots and Systems, 2010, pp. 3725–3731.Search in Google Scholar

[6] J.J. Leonard and H.F. Durrant-Whyte, Mobile robot localization by tracking geometric beacons, IEEE Transactions on Robotics and Automation, Vol. 7, No. 3, 1991, pp. 376–382.10.1109/70.88147Open DOISearch in Google Scholar

[7] J. Woo and N. Kubota, Simultaneous Localization and Mapping using a Robot Partner in Dynamic Environment, SICE Annual Conference, 2011, pp. 524–529.Search in Google Scholar

[8] L. Zhao, S. Huang and G. Dissanayake, Linear SLAM: A Linear Solution to the Feature-based and Pose Graph SLAM based on Submap Joining, International Conference on Intelligent Robots and Systems, 2013, pp. 24–30.Search in Google Scholar

[9] L.D. Rodriguez, F. Matia, L. Pedraza, A. Jimenez and R. Galan, Consistency of SLAM-EKF Algorithms for Indoor Environments, Journal of Intelligent and Robotic Systems, Vol. 50, No. 4, 2007, pp. 375–397.10.1007/s10846-007-9171-8Search in Google Scholar

[10] L. D’Alfonso, W. Lucia, P. Muraca and P. Pugliese, Mobile robot localization via EKF and UKF: A comparison based on real data, Robotics and Autonomous Systems, Vol. 74, Part A, 2015, pp. 122-127.10.1016/j.robot.2015.07.007Search in Google Scholar

[11] M. Begum, G.K.I Mann and R.G. Gosine, An Evolutionary SLAM Algorithm for Mobile Robots, International Conference on Intelligent Robots and Systems, 2006, pp. 4066–4071.10.1109/IROS.2006.281870Search in Google Scholar

[12] M. Dissanayake, P. Newman, S. Clark, H.F. Durrant-Whyte and M. Csorba, A Solution to the Simultaneous Localization and Map Building (SLAM) Problem, IEEE Transactions on Robotics and Automation, Vol. 17, No. 3, 2001, pp. 229–241.10.1109/70.938381Open DOISearch in Google Scholar

[13] M. Montemerlo, S. Thrun, D. Koller and B. Wegbreit, FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem, 8th National Conference on Artificial Intelligence, 2002, pp. 593–598.Search in Google Scholar

[14] M. Montemerlo, S. Thrun, D. Koller and B. Wegbreit, FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges, 18th international joint conference on Artificial intelligence, 2003, pp. 1151–1156.Search in Google Scholar

[15] N. Kubota, K. Yuki and N. Baba, Integration of Intelligent Technologies for Simultaneous Localization and Mapping, International Joint Conference(ICCAS-SICE), 2009, pp. 4981–4986.Search in Google Scholar

[16] O. Hamzaoui and B. Steux, SLAM Algorithm with Parallel Localization Loops: tinySLAM 1.1, International Conference on Automation and Logistics, 2001, pp. 137–142.Search in Google Scholar

[17] R. Smith, M. Self and P. Cheesemans. P, Estimating Uncertain Spatial Relationships in Robotics, Proceedings of the Second Conference on Uncertainty in Artificial Intelligence (UAI), 1986, pp. 267–288.Search in Google Scholar

[18] S.M. Lee, J. Jung, S. Kim, I.J. Kim and H. Myung, DV-SLAM (Dual-Sensor-Based Vector-Field SLAM) and Observability Analysis, IEEE Transactions on Industrial Electronics, Vol. 62, No. 2, 2015.10.1109/TIE.2014.2341595Search in Google Scholar

[19] S. Wen, X. Chen, C. Ma, H.K. Lam, S. Hua, The Q-learning obstacle avoidance algorithm based on EKF-SLAM for NAO autonomous walking under unknown environments, Robotics and Autonomous Systems, Vol. 72, 2015, pp. 29-36.10.1016/j.robot.2015.04.003Search in Google Scholar

[20] T. Bailey, J. Nieto, J. Guivant, M. Stevens and E. Nebot, Consistency of the EKF-SLAM Algorithm, International Conference on Intelligent Robots and Systems, 2006, pp. 3562–3568.10.1109/IROS.2006.281644Search in Google Scholar

[21] T. Bailey and H. Durrant-Whyte, Simultaneous Localisation and Mapping (SLAM): Part II State of the Art, IEEE Robotics and Automation Magazine, 2006, pp. 108–117.10.1109/MRA.2006.1678144Search in Google Scholar

[22] Y. Nakamura and Y. Fujimoto, Validation of SLAM without Odometry in Outdoor Environment, IEEE 13th International Workshop on Advanced Motion Control (AMC), 2014, pp. 278–283.10.1109/AMC.2014.6823295Search in Google Scholar

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