Abstract

The place and importance of mobile robots in todays industry is increasing day by day. The use of mobile robots for industrial purposes such as sorting, moving and placing is no longer a preference but a necessity. With methods such as line, magnetic field, infrared ray or image tracking, positioning of mobile robots and path planning are possible. The use of these methods depends on the application fields. The industry started with mobile line following robots application at the beginning, gradually they have been developing day by day, and pursuits for different methods. If the topic examined under the heading of Industry 4.0, it is necessary to equip mobile robots with innovative technologies. The need for mobile robots that can provide fast, effective and practical solutions is being investigated by academics and commercial product developers.In this study, it is aimed to carry out a QR code based study on path planning of industrial mobile robots with distributed mobility. For this purpose, coordinates of the mobile robot work area are represented by QR labels and prepared in the form of a matrix. This way, developed path planning algorithm can be evaluated as a derivative of existing algorithms.

References

[1] G. H. Lee and Seul Jung, “Line Tracking Control of a Two-Wheeled Mobile Robot Using Visual Feedback”, Int J Adv Robotic Sy, 2013, Vol. 10, 177:2013, DOI: 10.5772/53729
[2] Tzuu-Hseng S. Li, Shih-Jie Chang, and Wei Tong, “Fuzzy Target Tracking Control of Autonomous Mobile Robots by Using Infrared Sensors”, IEEE Transactions on Fuzzy Systems, Vol. 12, No. 4, August 2004, DOI: 10.1109/TFUZZ.2004.832526 
[3] Pavel Skrab´anek, Pavel Vodi^cka, Sule Yildirim-Yayilgan, “Control System of a SemiAutonomous Mobile Robot”, IFAC-PapersOnLine 49-25 (2016) 460–469, DOI: 10.1016/j.ifacol.2016.12.065 
[4] Zhigang Wanga, Ke Zhanga, Yixin Chena, Zhifeng Luoa, Jian Zhenga, “A Real-Time Weld Line Detection For Derusting Wall-Climbing Robot Using Dual Cameras” , Journal of Manufacturing Processes 27 (2017) 76–86, http://dx.doi.org/10.1016/j.jmapro.2017.04.002
[5] Leandro B. Marinho, Jefferson S. Almeida , João Wellington M. Souza , Victor Hugo C. Albuquerque, Pedro P. Rebouças Filho, “A Novel Mobile Robot Localization Approach Based on Topological
[6] Maps Using Classification With Reject Option in Omnidirectional Images”, Expert Systems With Applications 72 (2017) 1–17, http://dx.doi.org/10.1016/j.eswa.2016.12.007
[7] Wu Hao, Tian Guo-hui, Li Yan, Zhou Feng-yu, Duan Peng, “Spatial Semantic Hybrid Map Building And Application of Mobile Service Robot”, Robotics and Autonomous Systems 62 (2014) 923–941, DOI:10.1016/j.robot.2013.01.001
[8] Marta Rostkowska and Michal Topolski, “On the Application of QR Codes for Robust Selflocalization of Mobile Robots in Various Application Scenarios”, Robotics and Measuring Techniques, Advances in Intelligent Systems and Computing 351, DOI: 10.1007/978-3-319-15847-1_24
[9] Huijuan Zhang, Chengning Zhang, Wei Yang, Chin-Yin Chen, Member, “Localization and Navigation Using QR Code For Mobile Robot In Indoor Environment”, Proceedings of the 2015 IEEE Conference on Robotics and Biomimetics Zhuhai, China, December 6-9, 2015
[10] Tansuriyavong Suriyon, Higa Keisuke and Boonmee Choompol, “Development of Guide Robot by Using QR Code Recognition”, The Second TSME International Conference on Mechanical Engineering 19-21 October, 2011, Krabi
[11] Wenyu Li, Feng Duan, Bo Chen, Jing Yuan, Jeffrey Too Chuan Tan, Binbin Xu, “Mobile Robot Action Based on QR code Identification”, Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, December 11-14, 2012, Guangzhou, China
[12] Vibekananda Dutta, “QR code localization using keystone effect”, Conference Paper, Young Scientists Towards the Challenges of Modern Technology 2014