Obstacle avoidance behavior of an autonomous mobile robot in a radioactive environment based on fuzzy logic

Yassine Haddi; Amina Kharchaf

doi:10.1051/e3sconf/202123400044

All issues

Volume 234 (2021)

E3S Web Conf., 234 (2021) 00044

References

Open Access

Issue		E3S Web Conf. Volume 234, 2021 The International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES2020)


Article Number		00044
Number of page(s)		6
DOI		https://doi.org/10.1051/e3sconf/202123400044
Published online		02 February 2021

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L. Li, C. Lin, M. Huang, S. Kuo, and Y. Chen, “Mobile robot navigation control using recurrent fuzzy cerebellar model articulation controller based on improved dynamic artificial bee colony,” Vol. 8, no. 11, pp. 1-10, 2016 cerebellar model articulation controller based on improved dynamic artificial [Google Scholar]

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[1] G. Bonow and A. Kroll, “Gas leak localization in industrial environments using a TDLAS - based remote gas sensor and autonomous mobile robot with the Tri - Max method *,” 2013 IEEE Int. Conf. Robot. Autom. Karlsruhe, pp. 987-992, 2013 [Google Scholar]

[2] M.E. and T. S. J. Rossmann, N. Hempe, “A RealTime Optical Sensor Simulation Framework for Develop- ment and Testing of Industrial and Mobile Robot Applications Simulation of Various Optical Sen- sors Using Graphics Hardware,” Robot. 2012; 7th Ger. Conf. Robot. Munich, Ger., pp. 1-6, 2012 [Google Scholar]

[3] N. Shalal, T. Low, C. Mccarthy, and N. Hancock, “Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion – Part B:Mapping and Localisation,” Comput. Electron. Agric., Vol. 119, pp. 267-278, 2015 [Google Scholar]

[4] E. Wang, H. Kang, C. Hyun, and M. Park, “Robust Backstepping Control Based on a Lyapunov Redesign for Skid-Steered Wheeled Mobile Robots Regular Paper,” Int. J. Adv. Robot. Syst., Vol. 10, 2013 [Google Scholar]

[5] K. Zhou, G. Ebenhofer, C. Eitzinger, U. Zimmermann, C. Walter, P. Luis, and M.A. Fern, “Mobile Manipulator Is Coming To Aerospace Manufacturing Industry,” 2014 IEEE Int. Symp. Robot. Sensors Environ. Proceedings, Timisoara, pp. 94-99, 2014 [Google Scholar]

[6] M. Wang and J. N. K. Liu, “FUZZY LOGIC BASED ROBOT PATH PLANNING IN UNKNOWN ENVIRONMENT,” Vol. 1, no. August, pp. 18-21, 2005 [Google Scholar]

[7] W. Gueaieb, S. Member, S. Miah, and S. Member, “An Intelligent Mobile Robot Navigation Technique Using RFID Technology,” Vol. 57, no. 9, pp. 1908-1917, 2008 [Google Scholar]

[8] A. Jayasiri, G. K. I. Mann, and R.G. Gosine, “Behavior Coordination of Mobile Robotics Using Supervisory Control of Fuzzy Discrete Event Systems,” Vol. 41, no. 5, pp. 1224-1238, 2011 [Google Scholar]

[9] H. Belaidi, H. Bentarzi, and M. Belaidi, “Implementation of a Mobile Robot Platform Navigating in Dynamic Environment,” CMME 2016, MATEC Web of Conferences 95, 08004 2017 [Google Scholar]

[10] L. Li, C. Lin, M. Huang, S. Kuo, and Y. Chen, “Mobile robot navigation control using recurrent fuzzy Robot by Applying Fuzzy Approach on Sonar Sensors,” Vol. 6, no. 3, pp. 36-44, 2010 [Google Scholar]

[11] N. K. A. A.- Sahib and A.R. Jasim, “Guiding Mobile Sensors,” Vol. 6, no. 3, pp. 36-44, 2010 [Google Scholar]

[12] L. Li, C. Lin, M. Huang, S. Kuo, and Y. Chen, “Mobile robot navigation control using recurrent fuzzy cerebellar model articulation controller based on improved dynamic artificial bee colony,” Vol. 8, no. 11, pp. 1-10, 2016 cerebellar model articulation controller based on improved dynamic artificial [Google Scholar]