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Tytuł artykułu

Backward motion planning and control of multiple mobile robots moving in tightly coupled formations

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This work addresses the development of a distributed switching control strategy to drive the group of mobile robots in both backward and forward motion in a tightly coupled geometric pattern, as a solution for the deadlock situation that arises while navigating the unknown environment. A generalized closed-loop tracking controller considering the leader referenced model is used for the robots to remain in the formation while navigating the environment. A tracking controller using the simple geometric approach and the Instantaneous Centre of Radius (ICR), to drive the robot in the backward motion during deadlock situation is developed and presented. State-Based Modelling is used to model the behaviors/motion states of the proposed approach in MATLAB/STATEFLOW environment. Simulation studies are carried out to test the performance and error dynamics of the proposed approach combining the formation, navigation, and backward motion of the robots in all geometric patterns of formation, and the results are discussed.
Rocznik
Strony
60--72
Opis fizyczny
Bibliogr. 20 poz., fig.
Twórcy
  • Hindustan Institute of Technology and Science, Centre for Automation and Robotics, School of Mechanical Sciences, OMR, Rajiv Gandhi Salai, Padur, Chennai - 603103, India
autor
  • Hindustan Institute of Technology and Science, Centre for Automation and Robotics, School of Mechanical Sciences, OMR, Rajiv Gandhi Salai, Padur, Chennai - 603103, India
  • Hindustan Institute of Technology and Science, Centre for Automation and Robotics, School of Mechanical Sciences, OMR, Rajiv Gandhi Salai, Padur, Chennai - 603103, India
Bibliografia
  • [1] Alonso-Mora, J., Baker, S., & Rus, D. (2017). Multi-robot formation control and object transport in dynamic environments via constrained optimization. The International Journal of Robotics Research, 36(9), 1000–1021. http://doi.org/10.1177/0278364917719333
  • [2] Arkin, R.C. (1998). Behavior-Based Robotics. MIT Press.
  • [3] Barfoot, T.D., & Clark, C.M. (2004). Motion planning for Formations of Mobile Robots. International Journal of Robotics and Autonomous Systems, 46, 65–78. http://doi.org/10.1016/j.robot.2003.11.004
  • [4] Cheng, J., Wang, B., Zhang, Y., & Wang, Z. (2017). Backward Orientation Tracking Control of Mobile Robot with N Trailers. International Journal of Control, Automation, and Systems, 15, 867–874. http://doi.org/10.1007/s12555-015-0382-7
  • [5] Chung, W., Park, M., Yoo, K., Roh, J., and Choi, J. (2011). Backward-motion control of a mobile robot with n passive off-hooked trailers. Journal of Mechanical Science and Technology, 25(11), 2895–2905. http://doi.org/10.1007/s12206-011-0909-7
  • [6] Dougherty, R., Ochoa, V., Randles, Z., & Kitts, C. (2004). A Behavioral Control approach to formation keeping through an obstacles field. In Proceedings of the IEEE Aerospace Conference (pp. 168–175, vol. 1). IEEE. http://doi.org/10.1109/AERO.2004.1367602
  • [7] Kuppan Chetty, R.M., Nagarajan, T., Karsiti, N.B., & Singaperumal, M. (2012). State Based Modelling and Control of a Multi Robot Systems Using Simulink/Stateflow. Journal of Applied Sciences, 12(24), 2494–2502. http://doi.org/jas.2012.2494.2502
  • [8] Kuppan Chetty, R.M., Singaperumal, M., & Nagarajan, T. (2011a). Behavior Based Multi Robot Formations with Active Obstacle Avoidance Based on Switching Control Strategy. Journal of Advanced Materials Research, 443-440, 6630–6635. http://doi.org/10.4028/www.scientific.net/AMR.433-440.6630
  • [9] Kuppan Chetty, R.M., Singaperumal, M., & Nagarajan, T. (2011b). Distributed Formation planning and Navigation framework of Wheeled Mobile Robots. Journal of Applied Sciences, 11(9), 1501–1509. http://doi.org/10.3923/jas.2011.1501.1509
  • [10] Kuppan Chetty, R.M., Singaperumal, M., Nagarajan, T., & Inamura, T. (2011). Coordination Control of Wheeled Mobile Robots – A Hybrid Approach. International Journal of Computer Applications in Technology, 41(3/4), 195–204. http://doi.org/10.1504/IJCAT.2011.042695
  • [11] Lee, G., & Chwa, D. (2018). Decentralized behavior-based formation control of multiple robots considering obstacle avoidance. Intelligent Service Robotics, 11, 127–138. http://doi.org/10.1007/s11370-017-0240-y
  • [12] Li, X., & Xiao, J. (2005). Robot formation control in Leader-Follower Motion Using Direct Lyapunov Method. International Journal of Intelligent Control and Systems, 10(2), 244–259.
  • [13] Ma, Y., Zhang, Y., Cheng, J., & Zhao, Q.J. (2014). Backward Path Tracking of Mobile Robot with Two Trailers. Applied Mechanics and Materials, 716-717, 1512-1517. http://doi.org/10.4028/www.scientific.net/AMM.716-717.1512
  • [14] Mataric, M.J., & Michaud, F. (2008). Behavior Based Systems. In B. Siciliano & O. Khatib (Eds.), Handbook of Robotics (pp. 891–909). Springer.
  • [15] Petrov, P. (2010) Nonlinear Backward Tracking Control of an Articulated Mobile Robot with Off axle hitching. In Proceedings of the 9th WSEAS International Conference on Recent Advances in Signal Processing, Robotics and Automation (pp. 269–273). The ACM Digital Library.
  • [16] Petukhov, S.V., & Rachkov, M.Y. (2009). Navigation Method of Autonomous Robot Backward Motion by Remembered Landmarks. Mobile Robotics, 19–25. https://doi.org/10.1142/9789814291279_0005
  • [17] Soni, A., & Hu, H. (2018). Formation Control for a Fleet of Autonomous Ground Vehicles: A Survey. Robotics, 7(4), 67. http://doi.org/10.3390/robotics7040067
  • [18] Wang, Q., & Phillips, C. (2014). Cooperative Path Planning for Multi-Vehicle Systems. Electronics, 3, 636–660. http://doi.org/10.3390/electronics3040636
  • [19] Werger, B.B., & Mataric, M.J. (2001). From insect to internet: situated control for Networked Robot Teams. Annals of Mathematics and Artificial Intelligence, 31, 173–197. http://doi.org/10.1023/A:1016650101473
  • [20] Xu, D., Zhang, X., Zhu, Z., Chen, C., & Yang, P. (2014). Behavior-Based Formation Control of Swarm Robots. Mathematical Problems in Engineering, 2014, 205759. http://doi.org/10.1155/2014/205759
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6aea1fdb-0890-4d46-8220-758556564ec8
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