Research Article
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Year 2023, Volume: 9 Issue: 1, 205 - 217, 06.03.2023
https://doi.org/10.28979/jarnas.1119957

Abstract

References

  • Arkin, R. C., & Murphy, R. R. (1990). Autonomous navigation in a manufacturing environment. IEEE Transactions on Robotics and Automation, 6(4), 445–454. https://doi.org/10.1109/70.59355
  • Ben-Ari Mordechaiand Mondada, F. (2018). Robots and Their Applications . In Elements of Robotics (pp. 1–20). Springer International Publishing. https://doi.org/10.1007/978-3-319-62533-1_1
  • Carlucho, I., De Paula, M., & Acosta, G. G. (2019). Double Q-PID algorithm for mobile robot control. Expert Systems with Applications, 137, 292–307. https://doi.org/https://doi.org/10.1016/j.eswa.2019.06.066
  • Durrant-Whyte, H., & Bailey, T. (2006). Simultaneous localization and mapping: part I. IEEE Robotics Automation Magazine, 13(2), 99–110. https://doi.org/10.1109/MRA.2006.1638022
  • Fadzli, S. A., Abdulkadir, S. I., Makhtar, M., & Jamal, A. A. (2015). Robotic Indoor Path Planning Using Dijkstra’s Algorithm with Multi-Layer Dictionaries. 2015 2nd International Conference on Information Science and Security (ICISS), 1–4. https://doi.org/10.1109/ICISSEC.2015.7371031
  • Guo, C. (2013). A Solution to Best Itinerary Problem Based on Strategy Set under Dijkstra Algorithm. Applied Mechanics and Materials, 333–335, 1442–1445. https://doi.org/10.4028/www.scientific.net/AMM.333-335.1442
  • Hartomo, K., Ismanto, B., Nugraha, A., Yulianto, S., & Laksono, B. (2019). Searching the shortest route to distribute disaster’s logistical assistance using Dijkstra method. Journal of Physics: Conference Series, 1402(7), 77014. https://doi.org/10.1088/1742-6596/1402/7/077014
  • http://wiki.ros.org/tf. (2021, November 2).
  • https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm. (13 C.E., December 21).
  • Köseoğlu, M., Çelik, O. M., & Pektaş, Ö. (2017). Design of an autonomous mobile robot based on ROS. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), 1–5. https://doi.org/10.1109/IDAP.2017.8090199
  • Kumar, A., & Gao, N. (2021). OPTIMIZATION OF DISTRIBUTION ROUTE USING DIJKSTRA’S BASED GREEDY ALGORITHM : CASE OF RETAIL CHAIN. 6(8), 186–190.
  • Ochiai, Y., Takemura, K., Ikeda, A., Takamatsu, J., & Ogasawara, T. (2014). Remote control system for multiple mobile robots using touch panel interface and autonomous mobility. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 3272–3277. https://doi.org/10.1109/IROS.2014.6943017
  • Panigrahi, P. K., & Bisoy, S. K. (2021). Localization strategies for autonomous mobile robots: A review. Journal of King Saud University - Computer and Information Sciences. https://doi.org/https://doi.org/10.1016/j.jksuci.2021.02.015 Roland SIEGWART, Illah R. NOURBAKHSH, & Davide Scaramuzza. (2011). Introduction to Autonomous Mobile Robots (Second Edition, Vol. 5). The MIT Press.
  • Tsai, C.-C. (1998). A localization system of a mobile robot by fusing dead-reckoning and ultrasonic measurements. IEEE Transactions on Instrumentation and Measurement, 47(5), 1399–1404. https://doi.org/10.1109/19.746618
  • Wolf, D. F., & Sukhatme, G. S. (2005). Mobile Robot Simultaneous Localization and Mapping in Dynamic Environments. Autonomous Robots, 19(1), 53–65. https://doi.org/10.1007/s10514-005-0606-4
  • Zaman, S., Slany, W., & Steinbauer, G. (2011). ROS-based mapping, localization and autonomous navigation using a Pioneer 3-DX robot and their relevant issues. 2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC), 1–5. https://doi.org/10.1109/SIECPC.2011.5876943

A Modified Dijkstra Algorithm for ROS Based Autonomous Mobile Robots

Year 2023, Volume: 9 Issue: 1, 205 - 217, 06.03.2023
https://doi.org/10.28979/jarnas.1119957

Abstract

Autonomous Mobile Robots (AMRs) are frequently used in many fields of technology. In this study, an AMR was designed to execute different path planning algorithms. Firstly, working principle, system architecture and motion planning of AMR are presented. Then, a map for the current environment is produced by a Robot Operating System (ROS) powered AMR which was designed for this study. The AMR locates itself on the produced map with the aid of an integrated Light Detection and Ranging sensor (LIDAR). The locomotion of AMR to a user-defined target on the produced map is performed by an optimal path based on AMR's own navigation plan. Two different path planning algorithms, which are Dijkstra’s algorithm and a modified version of Dijkstra’s algorithm, are executed on a cost-effective AMR platform, which has the capability of Simultaneous Localization and Mapping (SLAM). The reason why Dijkstra algorithm is handled in this study rather than A*, D* and RRT algorithms is that this algorithm is a basic and widely used algorithm. Dijkstra’s algorithm is modified, and pros and cons of the modified algorithm are analysed compared to Dijkstra algorithm. The proposed algorithm and navigation of AMR are tested
both in real time in real world and as a simulation in Gazebo. Two algorithms were compared according to the results obtained from the robot locomotion both in real application and simulation environment. It is observed that the modified version of the Dijkstra’s algorithm comparatively yielded a bit more satisfactory results in the aspect of path planning.

References

  • Arkin, R. C., & Murphy, R. R. (1990). Autonomous navigation in a manufacturing environment. IEEE Transactions on Robotics and Automation, 6(4), 445–454. https://doi.org/10.1109/70.59355
  • Ben-Ari Mordechaiand Mondada, F. (2018). Robots and Their Applications . In Elements of Robotics (pp. 1–20). Springer International Publishing. https://doi.org/10.1007/978-3-319-62533-1_1
  • Carlucho, I., De Paula, M., & Acosta, G. G. (2019). Double Q-PID algorithm for mobile robot control. Expert Systems with Applications, 137, 292–307. https://doi.org/https://doi.org/10.1016/j.eswa.2019.06.066
  • Durrant-Whyte, H., & Bailey, T. (2006). Simultaneous localization and mapping: part I. IEEE Robotics Automation Magazine, 13(2), 99–110. https://doi.org/10.1109/MRA.2006.1638022
  • Fadzli, S. A., Abdulkadir, S. I., Makhtar, M., & Jamal, A. A. (2015). Robotic Indoor Path Planning Using Dijkstra’s Algorithm with Multi-Layer Dictionaries. 2015 2nd International Conference on Information Science and Security (ICISS), 1–4. https://doi.org/10.1109/ICISSEC.2015.7371031
  • Guo, C. (2013). A Solution to Best Itinerary Problem Based on Strategy Set under Dijkstra Algorithm. Applied Mechanics and Materials, 333–335, 1442–1445. https://doi.org/10.4028/www.scientific.net/AMM.333-335.1442
  • Hartomo, K., Ismanto, B., Nugraha, A., Yulianto, S., & Laksono, B. (2019). Searching the shortest route to distribute disaster’s logistical assistance using Dijkstra method. Journal of Physics: Conference Series, 1402(7), 77014. https://doi.org/10.1088/1742-6596/1402/7/077014
  • http://wiki.ros.org/tf. (2021, November 2).
  • https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm. (13 C.E., December 21).
  • Köseoğlu, M., Çelik, O. M., & Pektaş, Ö. (2017). Design of an autonomous mobile robot based on ROS. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), 1–5. https://doi.org/10.1109/IDAP.2017.8090199
  • Kumar, A., & Gao, N. (2021). OPTIMIZATION OF DISTRIBUTION ROUTE USING DIJKSTRA’S BASED GREEDY ALGORITHM : CASE OF RETAIL CHAIN. 6(8), 186–190.
  • Ochiai, Y., Takemura, K., Ikeda, A., Takamatsu, J., & Ogasawara, T. (2014). Remote control system for multiple mobile robots using touch panel interface and autonomous mobility. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 3272–3277. https://doi.org/10.1109/IROS.2014.6943017
  • Panigrahi, P. K., & Bisoy, S. K. (2021). Localization strategies for autonomous mobile robots: A review. Journal of King Saud University - Computer and Information Sciences. https://doi.org/https://doi.org/10.1016/j.jksuci.2021.02.015 Roland SIEGWART, Illah R. NOURBAKHSH, & Davide Scaramuzza. (2011). Introduction to Autonomous Mobile Robots (Second Edition, Vol. 5). The MIT Press.
  • Tsai, C.-C. (1998). A localization system of a mobile robot by fusing dead-reckoning and ultrasonic measurements. IEEE Transactions on Instrumentation and Measurement, 47(5), 1399–1404. https://doi.org/10.1109/19.746618
  • Wolf, D. F., & Sukhatme, G. S. (2005). Mobile Robot Simultaneous Localization and Mapping in Dynamic Environments. Autonomous Robots, 19(1), 53–65. https://doi.org/10.1007/s10514-005-0606-4
  • Zaman, S., Slany, W., & Steinbauer, G. (2011). ROS-based mapping, localization and autonomous navigation using a Pioneer 3-DX robot and their relevant issues. 2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC), 1–5. https://doi.org/10.1109/SIECPC.2011.5876943
There are 16 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Research Article
Authors

Orkan Murat Çelik 0000-0001-7231-1711

Murat Köseoğlu 0000-0003-3774-1083

Early Pub Date March 3, 2023
Publication Date March 6, 2023
Submission Date May 23, 2022
Published in Issue Year 2023 Volume: 9 Issue: 1

Cite

APA Çelik, O. M., & Köseoğlu, M. (2023). A Modified Dijkstra Algorithm for ROS Based Autonomous Mobile Robots. Journal of Advanced Research in Natural and Applied Sciences, 9(1), 205-217. https://doi.org/10.28979/jarnas.1119957
AMA Çelik OM, Köseoğlu M. A Modified Dijkstra Algorithm for ROS Based Autonomous Mobile Robots. JARNAS. March 2023;9(1):205-217. doi:10.28979/jarnas.1119957
Chicago Çelik, Orkan Murat, and Murat Köseoğlu. “A Modified Dijkstra Algorithm for ROS Based Autonomous Mobile Robots”. Journal of Advanced Research in Natural and Applied Sciences 9, no. 1 (March 2023): 205-17. https://doi.org/10.28979/jarnas.1119957.
EndNote Çelik OM, Köseoğlu M (March 1, 2023) A Modified Dijkstra Algorithm for ROS Based Autonomous Mobile Robots. Journal of Advanced Research in Natural and Applied Sciences 9 1 205–217.
IEEE O. M. Çelik and M. Köseoğlu, “A Modified Dijkstra Algorithm for ROS Based Autonomous Mobile Robots”, JARNAS, vol. 9, no. 1, pp. 205–217, 2023, doi: 10.28979/jarnas.1119957.
ISNAD Çelik, Orkan Murat - Köseoğlu, Murat. “A Modified Dijkstra Algorithm for ROS Based Autonomous Mobile Robots”. Journal of Advanced Research in Natural and Applied Sciences 9/1 (March 2023), 205-217. https://doi.org/10.28979/jarnas.1119957.
JAMA Çelik OM, Köseoğlu M. A Modified Dijkstra Algorithm for ROS Based Autonomous Mobile Robots. JARNAS. 2023;9:205–217.
MLA Çelik, Orkan Murat and Murat Köseoğlu. “A Modified Dijkstra Algorithm for ROS Based Autonomous Mobile Robots”. Journal of Advanced Research in Natural and Applied Sciences, vol. 9, no. 1, 2023, pp. 205-17, doi:10.28979/jarnas.1119957.
Vancouver Çelik OM, Köseoğlu M. A Modified Dijkstra Algorithm for ROS Based Autonomous Mobile Robots. JARNAS. 2023;9(1):205-17.


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