Research and Designing a Positioning System, Timeline Chemical Map for Multiple-Direction Mobile Robot
|International Journal of Electronics and Communication Engineering|
|© 2020 by SSRG - IJECE Journal|
|Volume 7 Issue 11|
|Year of Publication : 2020|
|Authors : Pham Ngoc Sam, Tran Duc Chuyen|
How to Cite?
Pham Ngoc Sam, Tran Duc Chuyen, "Research and Designing a Positioning System, Timeline Chemical Map for Multiple-Direction Mobile Robot," SSRG International Journal of Electronics and Communication Engineering, vol. 7, no. 11, pp. 7-12, 2020. Crossref, https://doi.org/10.14445/23488549/IJECE-V7I11P102
This paper presents designing the simultaneous positioning and mapping system (SLAM) for mobile robots. Based on the navigation system, the map simultaneously performs navigation for the movement of the mobile robot. Mobile robots must both achieve local obstacle avoidance and follow a global path in moving on a virtual environment consisting of known stationary obstacles and dynamic obstacles. All tasks are performed on a four-wheeled robot with a high-performance processor for central processing tasks, depth cameras, and RPlidar sensors. The results show the effectiveness, the research direction of using the Robot operating system to control and monitor autonomous robots, self-driving cars, and developing intelligent robot systems.
Robot Operating System (ROS), GAZEBO, RVIZ, Simultaneous Localization, Mapping (SLAM), Omni Robot, Nav_core, Navigation.
 M.Galli, R. Barber, S. Garrido, and L. Moreno, Path planning using Matlab-ROS integration applied to mobile robots, in 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) (2017) 98-103: IEEE. doi: 10.1109 / ICARSC. 2017. 7964059.
 I. Zamora, N. G. Lopez, V. M. Vilches, and A. H. Cordero, Extending the open-air gym for robotics: a toolkit for reinforcement learning using ros and gazebo, arXiv preprint arXiv:1608.05742, 2016.
 B. M. da Silva, R. S. Xavier, and L. M. Gonçalves, Mapping and Navigation for Indoor Robots under ROS: An Experimental Analysis, Creative Commons CC BY license, (2019). doi: 10.20944/preprints 201907.0035.v1.
 L. Zhi and M. Xuesong, Navigation and Control System of Mobile Robot Based on ROS, in 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), (2018) 368-372: IEEE.
 P. Marin-Plaza, A. Hussein, D. Martin, and A. d. l. Escalera, Global, and local path planning study in aros-based research platform for autonomous vehicles, Journal of Advanced Transportation. 8(2018) 115 -123 .
 K. Zheng, ROS Navigation Tuning Guide, arXiv preprint arXiv:1706.09068, (2017).
 M. Keller, F. Hoffmann, C. Hass, T. Bertram, and A. Seewald, Planning of optimal collision avoidance trajectories with timed elastic bands, IFAC Proceedings 47(3) (2014) 9822-9827. doi: 10.3182/20140824-6-ZA-1003.01143.
 Do Quang Hiep, Ngo Manh Tien, Nguyen Manh Cuong, Pham Tien Dung, Tran Van Manh, Nguyen Tien Kiem, Nguyen Duc Duy, An Approach to Design Navigation System for Omnidirectional Mobile Robot Based on ROS, (IJMERR); 11(9) (2020) 1502-1508.
 Roan Van Hoa, L. K. Lai, Le Thi Hoan, Mobile Robot Navigation Using Deep Reinforcement Learning in Unknown Environments, SSRG International Journal of Electrical and Electronics Engineering (SSRG-IJEEE). 7(8) (2020) 15-20.
 V. Matt and N. Aran, Deep reinforcement learning approach to autonomous driving, ed: arXiv, (2017).
 Nguyen Thanh Tuan, Base Deep learning, The Legrand Orange Book. Version 2, (2020).
 Charu C. Aggarwal, Neural Networks and Deep Learning, Springer International Publishing AG, part of Springer Nature, (2018).
 X. Ruan, D. Ren, X. Zhu, and J. Huang, Mobile Robot Navigation based on Deep Reinforcement Learning, Chinese Control And Decision Conference (CCDC) (2019).
 Andrea Bacciotti, Stability and Control of Linear Systems, Publishing Ltd; Springer Nature Switzerland AG, (2019).
 R. Weideman, Robot Navigation in cluttered environments with deep reinforcement learning, Thesis, Faculty of California Polytechnic State University, (2019).
 Francis X. Govers, "Artificial Intelligence for Robotics," Published by Packt Publishing Ltd. Livery Place. 35 Livery Street, Birmingham, B3 2PB, UK, (2018).
 Mrs. Anjali Hemant Tiple, Viren Bhagwan Wadhel, Harshada Santosh Sawant, Tejaswita Tanu Sawant, Suvidha Sitaram Sawant, "Design of Surveillance Based Quadcopter using Arduino" SSRG International Journal of Electrical and Electronics Engineering 6(3) (2019) 1-4.
 S.SriVidhya, Dr.C.B. Akki, Dr.Prakash S"A Survey on Data Association Methods in VSLAM", International Journal of Engineering Trends and Technology (IJETT), V30(2),83-88 December 2015.