BACKWARD MOTION PLANNING AND CONTROL OF MULTIPLE MOBILE ROBOTS MOVING IN TIGHTLY COUPLED FORMATIONS

Kuppan Chetty RAMANATHAN

kuppanc@hindustanuniv.ac.in
Hindustan Institute of Technology and Science, Centre for Automation and Robotics, School of Mechanical Sciences, OMR, Rajiv Gandhi Salai, Padur, Chennai - 603103 (India)

Manju MOHAN


Hindustan Institute of Technology and Science, Centre for Automation and Robotics, School of Mechanical Sciences, OMR, Rajiv Gandhi Salai, Padur, Chennai - 603103 (India)

Joshuva AROCKIA DHANRAJ


Hindustan Institute of Technology and Science, Centre for Automation and Robotics, School of Mechanical Sciences, OMR, Rajiv Gandhi Salai, Padur, Chennai - 603103 (India)

Abstract

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.


Keywords:

Multi-Robot Systems, Formation control, Behavior-Based Control, Switching strategy, Stateflow

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
DOI: https://doi.org/10.1177/0278364917719333   Google Scholar

Arkin, R.C. (1998). Behavior-Based Robotics. MIT Press.
  Google Scholar

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
DOI: https://doi.org/10.1016/j.robot.2003.11.004   Google Scholar

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
DOI: https://doi.org/10.1007/s12555-015-0382-7   Google Scholar

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
DOI: https://doi.org/10.1007/s12206-011-0909-7   Google Scholar

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
DOI: https://doi.org/10.1109/AERO.2004.1367602   Google Scholar

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
DOI: https://doi.org/10.3923/jas.2012.2494.2502   Google Scholar

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
DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.6630   Google Scholar

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
DOI: https://doi.org/10.3923/jas.2011.1501.1509   Google Scholar

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
DOI: https://doi.org/10.1504/IJCAT.2011.042695   Google Scholar

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
DOI: https://doi.org/10.1007/s11370-017-0240-y   Google Scholar

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.
  Google Scholar

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
DOI: https://doi.org/10.4028/www.scientific.net/AMM.716-717.1512   Google Scholar

Mataric, M.J., & Michaud, F. (2008). Behavior Based Systems. In B. Siciliano & O. Khatib (Eds.), Handbook of Robotics (pp. 891–909). Springer.
DOI: https://doi.org/10.1007/978-3-540-30301-5_39   Google Scholar

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.
  Google Scholar

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
DOI: https://doi.org/10.1142/9789814291279_0005   Google Scholar

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
DOI: https://doi.org/10.3390/robotics7040067   Google Scholar

Wang, Q., & Phillips, C. (2014). Cooperative Path Planning for Multi-Vehicle Systems. Electronics, 3, 636–660. http://doi.org/10.3390/electronics3040636
DOI: https://doi.org/10.3390/electronics3040636   Google Scholar

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
DOI: https://doi.org/10.1023/A:1016650101473   Google Scholar

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
DOI: https://doi.org/10.1155/2014/205759   Google Scholar

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Published
2021-09-30

Cited by

RAMANATHAN, K. C., MOHAN, M., & AROCKIA DHANRAJ, J. (2021). BACKWARD MOTION PLANNING AND CONTROL OF MULTIPLE MOBILE ROBOTS MOVING IN TIGHTLY COUPLED FORMATIONS. Applied Computer Science, 17(3), 60–72. https://doi.org/10.35784/acs-2021-21

Authors

Kuppan Chetty RAMANATHAN 
kuppanc@hindustanuniv.ac.in
Hindustan Institute of Technology and Science, Centre for Automation and Robotics, School of Mechanical Sciences, OMR, Rajiv Gandhi Salai, Padur, Chennai - 603103 India

Authors

Manju MOHAN 

Hindustan Institute of Technology and Science, Centre for Automation and Robotics, School of Mechanical Sciences, OMR, Rajiv Gandhi Salai, Padur, Chennai - 603103 India

Authors

Joshuva AROCKIA DHANRAJ 

Hindustan Institute of Technology and Science, Centre for Automation and Robotics, School of Mechanical Sciences, OMR, Rajiv Gandhi Salai, Padur, Chennai - 603103 India

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