À propos de cet article

Citez

[1] M. Algabri, H. Mathkour, H. Ramdane, and M. Alsulaiman, “Comparative study of soft computing techniques for mobile robot navigation in an unknown environment”, Computers in Human Behavior, vol. 50, 2015, pp. 42 – 56. https://doi.org/10.1016/j.chb.2015.03.062 Search in Google Scholar

[2] V. Alvarez-Santos, A. Canedo-Rodriguez, R. Iglesias, X. Pardo, C. Regueiro, and M. Fernandez-Delgado, “Route learning and reproduction in a tour-guide robot”, Robotics and Autonomous Systems, vol. 63, Part 2, 2015, pp. 206 – 213. https://doi.org/10.1016/j.robot.2014.07.013 Search in Google Scholar

[3] B. D. Argall, S. Chernova, M. Veloso, and B. Browning, “A survey of robot learning from demonstration”, Robotics and Autonomous Systems, vol. 57, no. 5, 2009, pp. 469 – 483. https://doi.org/10.1016/j.robot.2008.10.024 Search in Google Scholar

[4] R. Arkin, “Motor schema-based mobile robot navigation”, International Journal of Robotics Research, vol. 8, 1989, pp. 92–112. Search in Google Scholar

[5] A. Bakdi, A. Hentout, H. Boutami, A. Maoudj, O. Hachour, and B. Bouzouia, “Optimal path planning and execution for mobile robots using genetic algorithm and adaptive fuzzy-logic control”, Robotics and Autonomous Systems, vol. 89, 2017, pp. 95 – 109. https://doi.org/10.1016/j.robot.2016.12.008 Search in Google Scholar

[6] D. A. Brenna, B. Brett, and M. V. Manuela, “Policy feedback for the refinement of learned motion control on a mobile robot”, International Journal of Social Robotics, vol. 4, no. 4, 2012, pp. 383–395. 10.1007/s12369-012-0156-9 Search in Google Scholar

[7] S. Choi, E. Kim, K. Lee, and S. Oh, “Real-time nonparametric reactive navigation of mobile robots in dynamic environments”, Robotics and Autonomous Systems, vol. 91, 2017, pp. 11 – 24. https://doi.org/10.1016/j.robot.2016.12.003 Search in Google Scholar

[8] K. Dermot, U. Nehmzow, and A. S. Billings. “Towards automated code generation for autonomous mobile robots”, June 2010. Search in Google Scholar

[9] H. S. Dewang, P. K. Mohanty, and S. Kundu, “A robust path planning for mobile robot using smart particle swarm optimization”, Procedia Computer Science, International Conference on Robotics and Smart Manufacturing (RoSMa2018), vol. 133, 2018, pp. 290 – 297. https://doi.org/10.1016/j.procs.2018.07.036 Search in Google Scholar

[10] S. S. Dhanjal. Path Planning in Single and Multi-robot Systems. PhD thesis, BITS, Pilani, May 2016. Search in Google Scholar

[11] E. W. Dijkstra. “A note on two problems in connexion with graphs”, December 1959. 10.1145/3544585.3544600 Search in Google Scholar

[12] D. Dolgov, S. Thrun, M. Montemerlo, and J. Diebel. “Practical search techniques in path planning for autonomous driving”, Jan 2008. Search in Google Scholar

[13] S. Dong and B. Williams, “Learning and recognition of hybrid manipulation motions in variable environments using probabilistic flow tubes”, International Journal of Social Robotics, vol. 4, no. 4, 2012, pp. 357–368. 10.1007/s12369-012-0155-x Search in Google Scholar

[14] M. Ehrenmann, O. Rogalla, R. Zollner, and R. Dillmann. “Teaching service robots complex tasks: Programming by demostration for workshop and household environments”, 2002. Search in Google Scholar

[15] D. Ferguson and A. T. Stentz. “The field d* algorithm for improved path planning and replanning in uniform and non-uniform cost environments”, June 2005. Search in Google Scholar

[16] E. Galceran and M. Carreras, “A survey on coverage path planning for robotics”, Robotics and Autonomous Systems, vol. 61, no. 12, 2013, pp. 1258 – 1276. https://doi.org/10.1016/j.robot.2013.09.004 Search in Google Scholar

[17] A. M. E. Ghalamzan and M. Ragaglia, “Robot learning from demonstrations: Emulation learning in environments with moving obstacles”, Robotics and Autonomous Systems, vol. 101, 2018, pp. 45 – 56. https://doi.org/10.1016/j.robot.2017.12.001 Search in Google Scholar

[18] S. Hacohen, S. Shoval, and N. Shvalb, “Applying probability navigation function in dynamic uncertain environments”, Robotics and Autonomous Systems, vol. 87, 2017, pp. 237 – 246. https://doi.org/10.1016/j.robot.2016.10.010 Search in Google Scholar

[19] D. Halbert. “Programming by example”. PhD thesis, University of California, Berkeley, November 1984. Search in Google Scholar

[20] M. Hank and M. Haddad, “A hybrid approach for autonomous navigation of mobile robots in partially-known environments”, Robotics and Autonomous Systems, vol. 86, 2016, pp. 113 – 127. https://doi.org/10.1016/j.robot.2016.09.009 Search in Google Scholar

[21] P. Hart, N. Nilsson, and B. Rafael, “A formal basis for the heuristic determination of minimum cost paths”, IEEE Transactions on Systems Science and Cybernetics, vol. 4, 1968, pp. 100–107. Search in Google Scholar

[22] J. Hong, Y. Choi, and K. Park. “Mobile robot navigation using modified flexible vector field approach with laser range finder and IR sensor”, 2007 International Conference on Control, Automation and Systems, 2007, pp. 721–726. 10.1109/ICCAS.2007.4406993 Search in Google Scholar

[23] R. Huq, G. K. Mann, and R. G. Gosine, “Mobile robot navigation using motor schema and fuzzy context dependent behavior modulation”, Applied Soft Computing, vol. 8, no. 1, 2008, pp. 422 – 436. https://doi.org/10.1016/j.asoc.2007.02.006 Search in Google Scholar

[24] Y. K. Hwang and N. Ahuja, “A potential field approach to path planning”. In: IEEE Transaction on Robotics and Automation, vol. 8, 1992, pp. 23–32. Search in Google Scholar

[25] R. Jakel, S. R. Schmidt-Rohr, S. W. Ruhl, A. Kasper, Z. Xue, and R. Dillmann, “Learning of planning models for dexterous manipulation based on human demonstrations”, International Journal of Social Robotics, vol. 4, no. 4, 2012, pp. 437–448, 10.1007/s12369-012-0162-y Search in Google Scholar

[26] F. Kamil, T. S. Hong, W. Khaksar, M. Y. Moghrabiah, N. Zulkifli, and S. A. Ahmad, “New robot navigation algorithm for arbitrary unknown dynamic environments based on future prediction and priority behavior”, Expert Systems with Applications, vol. 86, 2017, pp. 274 – 291. https://doi.org/10.1016/j.eswa.2017.05.059 Search in Google Scholar

[27] J. Lee, Y. Nam, S. Hong, and W. Cho, “New potential functions with random force algorithms using potential field method”, Journal of Intelligent & Robotic Systems, vol. 66, no. 3, 2012, pp. 303–319. 10.1007/s10846-011-9595-z Search in Google Scholar

[28] R. Limosani, A. Manzi, L. Fiorini, F. Cavallo, and P. Dario, “Enabling global robot navigation based on a cloud robotics approach”, International Journal of Social Robotics, vol. 8, no. 3, 2016, pp. 371– 380. 10.1007/s12369-016-0349-8 Search in Google Scholar

[29] S. M. Lavalle. “Rapidly-exploring random trees: A new tool for path planning”, May 1999. Search in Google Scholar

[30] T. T. Mac, C. Copot, D. T. Tran, and R. D. Keyser, “Heuristic approaches in robot path planning: A survey”, Robotics and Autonomous Systems, vol. 86, 2016, pp. 13 – 28. https://doi.org/10.1016/j.robot.2016.08.001 Search in Google Scholar

[31] D. Nakhaeinia, S. Tang, S. Noor, and O. Motlagh, “A review of control architectures for autonomous navigation of mobile robots”, International Journal of Physical Sciences, vol. 6, 2011, pp. 169–174. Search in Google Scholar

[32] U. Nehmzow, O. Akanyeti, C. Weinrich, T. Kyriacou, and S. A. Billings. “Programming mobile robots by demonstration through system identification”, European Conference on Mobile Robots, Freiburg, Germany, 19 Sep 2007 - 21 Sep 2007. Search in Google Scholar

[33] A. A. NippunKumaar and T. S. B. Sudarshan, “Mobile robot programming by demonstration”. In: 2011 Fourth International Conference on Emerging Trends in Engineering Technology, vol. 394, 2011, pp. 206–209. Search in Google Scholar

[34] A. A. NippunKumaar and T. S. B. Sudarshan, “Learning from demonstration with state based obstacle avoidance for mobile service robots”, Applied Mechanics and Materials, vol. 394, 2013, pp. 448–4556. Search in Google Scholar

[35] A. NippunKumaar and T. Sudarshan, “Sensor counter approach for a mobile robot to navigate a path using programming by demonstration”, Procedia Engineering, International Conference on Communication Technology and System Design, vol. 30, 2012, pp. 554 – 561. https://doi.org/10.1016/j.proeng.2012.01.898 Search in Google Scholar

[36] S. Osentoski, B. Pitzer, C. Crick, G. Jay, S. Dong, D. Grollman, H. B. Suay, and O. C. Jenkins, “Remote robotic laboratories for learning from demonstration”, International Journal of Social Robotics, vol. 4, no. 4, 2012, pp. 449–461. 10.1007/s12369-012-0157-8 Search in Google Scholar

[37] A. Pandey, S. Kumar, K. K. Pandey, and D. R. Parhi, “Mobile robot navigation in unknown static environments using anfis controller”, Perspectives in Science, Recent Trends in Engineering and Material Sciences, vol. 8, 2016, pp. 421 – 423. https://doi.org/10.1016/j.pisc.2016.04.094 Search in Google Scholar

[38] B. Patle, A. Pandey, A. Jagadeesh, and D. Parhi, “Path planning in uncertain environment by using firefly algorithm”, Defence Technology, vol. 14, no. 6, 2018, pp. 691 – 701. https://doi.org/10.1016/j.dt.2018.06.004 Search in Google Scholar

[39] A. T. Rashid, A. A. Ali, M. Frasca, and L. Fortuna, “Path planning with obstacle avoidance based on visibility binary tree algorithm”, Robotics and Autonomous Systems, vol. 61, no. 12, 2013, pp. 1440 – 1449. https://doi.org/10.1016/j.robot.2013.07.010 Search in Google Scholar

[40] I. R. Roberto, N. Ulrich, K. Theocharis, and B. Steve. “Modelling and characterisation of a mobile robot’s operation”, September 2006. Search in Google Scholar

[41] A. Stentz. “Optimal and efficient path planning for partially-known environments”, May 1994. Search in Google Scholar

[42] Z. Tahir, A. H. Qureshi, Y. Ayaz, and R. Nawaz, “Potentially guided bidirectionalized rrt* for fast optimal path planning in cluttered environments”, Robotics and Autonomous Systems, vol. 108, 2018, pp. 13 – 27. https://doi.org/10.1016/j.robot.2018.06.013 Search in Google Scholar

[43] P. Vadakkepat, T. H. Lee, and L. Xin. “Application of evolutionary artificial potential field in robot soccer system”, Annual Conference of the North American Fuzzy Information Processing Society, July 2001. Search in Google Scholar

[44] J. Wang, H. Kimura, and M. Sugisaka, “Intelligent control for the vision-based indoor navigation of an a-life mobile robot”, Artificial Life and Robotics, vol. 8, no. 1, 2004, pp. 29–33. 10.1007/s10015-004-0283-y Search in Google Scholar

[45] L. Wang, “Automatic control of mobile robot based on autonomous navigation algorithm”, Artificial Life and Robotics, vol. 24, no. 4, 2019, pp. 494–498. 10.1007/s10015-019-00542-0 Search in Google Scholar

[46] L. Xu, L. G. Zhang, D. G. Chen, and Y. Z. Chen, “The mobile robot navigation in dynamic environment”, 2007 International Conference on Machine Learning and Cybernetics, vol. 1, 2007, pp. 566–571. 10.1109/ICMLC.2007.4370209 Search in Google Scholar

[47] D. Zhenjun, Q. Daokui, X. Fang, and X. Dianguo. “A hybrid approach for mobile robot path planning in dynamic environments”, 2007 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2007, pp. 1058-1063. 10.1109/ROBIO.2007.4522310 Search in Google Scholar