Journals / Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi / 2022 / Cilt: 14 - Sayı: 2

Waypoint-Based Path Tracking Approach For Self-Organized Swarm Robots

Pages
799–815
Publication Date
2022-07-31
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

With the proposed approach, each swarm robots exhibit swarm behavior in an organized manner depending on the distance of the lookahead to the path to track in the with / without obstacle arenas.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, a waypoint-based path tracking approach is suggested for the swarm robots to follow the desired path in an organized way.
📊
Key Findings & Data:In the study, the applicability of the waypoint-based path tracking on the swarm robots that show flexible and scalable behavior has been demonstrated.
💡
Conclusion & Impact:With the proposed approach, each swarm robots exhibit swarm behavior in an organized manner depending on the distance of the lookahead to the path to track in the with / without obstacle arenas.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:path planing · path tracking · swarm robotics

Abstract

In this paper, a waypoint-based path tracking approach is suggested for the swarm robots to follow the desired path in an organized way. In the study, the applicability of the waypoint-based path tracking on the swarm robots that show flexible and scalable behavior has been demonstrated. To evaluate the proposed path planing approach with regard to scalability and flexibility, simulations have been applied in with/without obstacle arenas with different numbers of robots and according to different lookahead distances. With the proposed approach, each swarm robots exhibit swarm behavior in an organized manner depending on the distance of the lookahead to the path to track in the with / without obstacle arenas.

Özet

In this paper, a waypoint-based path tracking approach is suggested for the swarm robots to follow the desired path in an organized way. In the study, the applicability of the waypoint-based path tracking on the swarm robots that show flexible and scalable behavior has been demonstrated. To evaluate the proposed path planing approach with regard to scalability and flexibility, simulations have been applied in with/without obstacle arenas with different numbers of robots and according to different lookahead distances. With the proposed approach, each swarm robots exhibit swarm behavior in an organized manner depending on the distance of the lookahead to the path to track in the with / without obstacle arenas.

🔖

Cite This Article

MISIR, O., ÇELİK, M., GÖKREM, L. (2022). Waypoint-Based Path Tracking Approach For Self-Organized Swarm Robots. Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi, Cilt: 14 - Sayı: 2, 799–815. https://ajindex.com/articles/889134

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (1)

  1. Referans1 Bacha, S., Saadi, R., Ayad, M. Y., Aboubou, A., & Bahri, M. (2017). A review on vehicle modeling and control technics used for autonomous vehicle path following. International Conference on Green Energy and Conversion Systems, GECS 2017, 1–6. https://doi.org/10.1109/GECS.2017.8066221 Referans2 Bayindir, L. (2016). A review of swarm robotics tasks. Neurocomputing, 172, 292–321. https://doi.org/10.1016/j.neucom.2015.05.116 Referans3 Bayindir, L., & Şahin, E. (2007). A review of studies in swarm robotics. Turkish Journal of Electrical Engineering and Computer Sciences, 15(2), 115–147. http://dergipark.gov.tr/tbtkelektrik/issue/12085/144468 Referans4 Bibuli, M., Bruzzone, G., Caccia, M., Gasparri, A., Priolo, A., & Zereik, E. (2014). Swarm-based path-following for cooperative unmanned surface vehicles. Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment, 228(2), 192–207. https://doi.org/10.1177/1475090213516108 Referans5 Borenstein, J., & Koren, Y. (1989). Real-Time Obstacle Avoidance for Fast Mobile Robots. IEEE Transactions on Systems, Man and Cybernetics, 19(5), 1179–1187. https://doi.org/10.1109/21.44033 Referans6 Borenstein, J., & Koren, Y. (1991). The Vector Field Histogram—Fast Obstacle Avoidance for Mobile Robots. IEEE Transactions on Robotics and Automation, 7(3), 278–288. https://doi.org/10.1109/70.88137 Referans7 Buccieri, D., Perritaz, D., Mullhaupt, P., Jiang, Z. P., & Bonvin, D. (2009). Velocity-scheduling control for a unicycle mobile robot: Theory and experiments. IEEE Transactions on Robotics, 25(2), 451–458. https://doi.org/10.1109/TRO.2009.2014494 Referans8 Campion, G., Bastin, G., & D’Andréa-Novel, B. (1996). Structural properties and classification of kinematic and dynamic models of wheeled mobile robots. IEEE Transactions on Robotics and Automation, 12(1), 47–62. https://doi.org/10.1109/70.481750 Referans9 Chandrasekhar Rao, D., Kabat, M. R., Das, P. K., & Jena, P. K. (2018). Cooperative Navigation Planning of Multiple Mobile Robots Using Improved Krill Herd. Arabian Journal for Science and Engineering, 43(12), 7869–7891. https://doi.org/10.1007/s13369-018-3216-0 Referans10 Chen, Q., Wang, X., & Yang, J. (2018). Optimal Path-Following Guidance with Generalized Weighting Functions Based on Indirect Gauss Pseudospectral Method. Mathematical Problems in Engineering, 2018. https://doi.org/10.1155/2018/3104397 Referans11 Cibooglu, M., Karapinar, U., & Soylemez, M. T. (201