A Non-Contact Object Delivery System Using Leader-Follower Formation Control for Multi-Robots
DOI:
https://doi.org/10.58190/ijamec.2023.40Keywords:
Leader-follower formation control, Non-contact systems, Object delivery, Vision-based navigationAbstract
Rapid improvements in the area of multi-robot control algorithms pave the way to design and implement robotic swarms to deal with sophisticated tasks including intelligent object transportation systems. It is crucial to manage the structure of the numerous robots to behave like a whole body for task accomplishment. The leader-follower formation control approach offers a simple and reliable way of keeping the swarm formation in appropriate limits to cope with challenging tasks. Autonomous object transportation with multi-robot systems enjoy the benefits of the leader-follower formation control approach. However, most of the developed transportation systems achieve the task by locating the load onto the robots or by pushing the load in the means of a physical contact. These approaches may lead to a hardware or payload damage due to heavy loads or physical contacts respectively. In this study, a novel non-contact object delivery system is introduced for eliminating the drawbacks of physical contact between the robots and the payload. Permanent magnets are used for propulsion of the payload located on a cart with passive casters. The stability of the proposed multi-robot system is satisfied by a formation controller using potential functions method augmented with a cornering action sub-controller. The simulation results verify the effectiveness of the proposed system during a straight motion and cornering with the root mean square values of the distance between the robots as 1.46 × 10-4 [m] and 0.065 [m] respectively.
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Coucerio, M. S., Portugal, D., Ferreira, J. F., Rocha, R.P., "Semfire: Towards a new generation of forestry maintenance multi-robot systems," in 2019 IEEE/SICE International Symposium on System Integration (SII), Paris, France, 2019, pp. 270-276, DOI: https://doi.org/10.1109/SII.2019.8700403
Kronmueller, M., Fielbaum, A., Alonso-Mora, J., “On-demand grocery delivery from multiple local stores with autonomous robots,” in 2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Cambridge, United Kingdom, 2021, pp. 29-37,
DOI: https://doi.org/10.1109/MRS50823.2021.9620599
Edlerman, E., Linker, R., “Autonomous multi-robot system for use in vineyards and orchards,” in 2019 27th Mediterranean Conference on Control and Automation (MED), Akko, Israel, 2019, pp. 274-279, DOI: https://doi.org/10.1109/MED.2019.8798538
Moser, J., Hoffman, J., Hildebrand, R., Komendera, E., “An autonomous task assignment paradigm for autonomous robotic in-space assembly,” Frontiers in Robotics and AI, vol. 9, February 2022, DOI: https://doi.org/10.3389/frobt.2022.709905
Chen, Z., Emami, M.R., Chen, W., “Connectivity preservation and obstacle avoidance in small multi-spacecraft formation with distributed adaptive tracking control,” Journal of Intelligent & Robotic Systems, vol. 101, article no. 16, December 2020, DOI: https://doi.org/10.1007/s10846-020-01269-y
Wan, W., Shi, B., Wang, Z., Fukui, R., “Multirobot object transport via robust caging,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, issue 1, pp. 270-280, August 2017, DOI: https://doi.org/10.1109/TSMC.2017.2733552
Consolini, L., Morbidi, F., Prattichizzo, D., Tosques, M., “Leader–follower formation control of nonholonomic mobile robots with input constraints,” Automatica, vol. 44, issue 5, pp. 1343-1349, May 2008, DOI: https://doi.org/10.1016/j.automatica.2007.09.019
Moorthy, S., Joo, Y.H., “Formation control and tracking of mobile robots using distributed estimators and a biologically inspired approach,” Journal of Electrical Engineering & Technology, August 2022, DOI: https://doi.org/10.1007/s42835-022-01213-0
Das, A.K., Fierro, R., Kumar, V., Ostrowski, J.P., Spletzer, J., Taylor, C.J., “A vision-based formation control framework,” IEEE Transactions on Robotics and Automation, vol. 18, issue 5, pp. 813-825, October 2002, DOI: https://doi.org/10.1109/TRA.2002.803463
Xiao, H., Li, Z., Philip Chen, C.L., “Formation control of leader–follower mobile robots’ systems using model predictive control based on neuraldynamic optimization,” IEEE Transactions on Industrial Electronics, vol. 63, issue 9, pp. 5752-5762, March 2016, DOI: https://doi.org/10.1109/TIE.2016.2542788
Recker, T., Heinrich, M., Raatz, A., “A comparison of different approaches for formation control of nonholonomic mobile robots regarding object transport,” in Procedia CIRP 2021, vol. 96, pp. 248-253 DOI: https://doi.org/10.1016/j.procir.2021.01.082
Freda, L., Gianni, M., Pirri, F., Gawel, A., Dube, R., Siegwart, R., Cadena, C., “3d multi-robot patrolling with a two-level coordination,” Autonomous Robots, vol. 43, issue 7, pp. 1747-1779, October 2019, DOI: https://doi.org/10.1007/s10514-018-09822-3
Miao, Z., Liu, Y.-H., Wang, Y., Yi, G., Fierro, R., “Distributed estimation and control for leader-following formations of nonholonomic mobile robots,” IEEE Transactions on Automation Science and Engineering, vol. 15, issue 4, pp. 1946-1954, March 2018, DOI: https://doi.org/10.1109/TASE.2018.2810253
Wang, B., Wang, J., Zhang, B., Chen, W., Zhang, Z., “Leader–follower consensus of multivehicle wirelessly networked uncertain systems subject to nonlinear dynamics and actuator fault,” IEEE Transactions on Automation Science and Engineering, vol. 15, issue 2, pp. 492-505, January 2017, DOI: https://doi.org/10.1109/TASE.2016.2635979
Lashkari, N., Biglarbegian, M., Yang, S.X., “Development of a novel robust control method for formation of heterogeneous multiple mobile robots with autonomous docking capability,” IEEE Transactions on Automation Science and Engineering, vol. 17, issue 4, pp. 1759-1776, April 2020, DOI: https://doi.org/10.1109/TASE.2020.2977465
Yan, B., Shi, P., Lim, C.-C., “Robust formation control for nonlinear heterogeneous multiagent systems based on adaptive event-triggered strategy,” IEEE Transactions on Automation Science and Engineering, vol. 19, issue 4, pp. 2788-2800, October 2022, DOI: https://doi.org/10.1109/TASE.2021.3103877
Elkaim, G.H., Kelbley, R.J., “A lightweight formation control methodology for a swarm of non-holonomic vehicles,” in 2006 IEEE Aerospace Conference 2006, Big Sky, MT, USA, March 4-11, 2006, IEEE, 2006. pp. 8.-, DOI: https://doi.org/10.1109/AERO.2006.1655803
Harder, S.A., Lauderbaugh, L.K., “Formation specification for control of active agents using artificial potential fields,” Journal of Intelligent & Robotic Systems, vol. 95, issue 2, pp. 279-290, August 2018, DOI: https://doi.org/ https://doi.org/10.1007/s10846-018-0912-7
Gallardo, N., Pai, K., Erol, B.A., Benavidez, P., Jamshidi, M., “Formation control implementation using kobuki turtlebots and parrot bebop drone,” in 2016 World Automation Congress (WAC) 2016, Rio Grande, PR, USA, July 31 – August 04, 2016, IEEE, 2016. pp. 1-6, DOI: https://doi.org/10.1109/WAC.2016.7582996
Mariottini, G.L., Morbidi, F., Prattichizzo, D., Vander Valk, N., Michael, N., Pappas, G., Daniilidis, K., “Vision-based localization for leader–follower formation control,” IEEE Transactions on Robotics, vol. 25, issue 6, pp. 1431-1438, December 2009, DOI: https://doi.org/10.1109/TRO.2009.2032975
Bai, X., Fielbaum, A., Kronmuller, M., Knoedler, L., Alonso-Mora, J., “Group-based distributed auction algorithms for multi-robot task assignment,” IEEE Transactions on Automation Science and Engineering, Early Access, pp. 1-12, May 2022, DOI: https://doi.org/10.1109/TASE.2022.3175040
Yan, Z., Guan, W., Wen, S., Huang, L., Song, H., “Multirobot cooperative localization based on visible light positioning and odometer,” IEEE Transactions on Instrumentation and Measurement, vol. 70, article no: 7004808, June 2021, DOI: https://doi.org/10.1109/TIM.2021.3086887
Siegwart, R., Nourbakhsh, I.R., Scaramuzza, D., Introduction to Autonomous Mobile Robots. Cambridge, Massachusetts, USA: MIT Press, 2011.
Liu, X., Ge, S.S., Goh, C.-H., “Vision-based leader–follower formation control of multiagents with visibility constraints,” IEEE Transactions on Control Systems Technology, vol. 27, issue 3, pp. 1326-1333, May 2019, DOI: https://doi.org/10.1109/TCST.2018.2790966
Fallah, M.M.H., Janabi-Sharifi, F., Sajjadi, S., Mehrandezh, M., “A visual predictive control framework for robust and constrained multi-agent formation control,” Journal of Intelligent & Robotic Systems, vol. 105, issue 4, article no: 72, July 2022, DOI: https://doi.org/10.1007/s10846-022-01674-5
Das Sharma, K., Chatterjee, A., Rakshit, A., “A pso–lyapunov hybrid stable adaptive fuzzy tracking control approach for vision-based robot navigation,” IEEE Transactions on Instrumentation and Measurement, vol. 61, issue 7, pp. 1908-1914, July 2012, DOI: https://doi.org/10.1109/TIM.2012.2182868
Doostmohammadian, M., Taghieh, A., Zarrabi, H., “Distributed estimation approach for tracking a mobile target via formation of uavs,” IEEE Transactions on Automation Science and Engineering, vol. 19, issue 4, pp. 3765-3776, October 2022, DOI: https://doi.org/10.1109/TASE.2021.3135834
Besseghieur, K.L., Trebinski, R., Kaczmarek, W., Panasiuk, J., “Leaderfollower formation control for a group of ros-enabled mobile robots,” in 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT) 2019, Paris, France, April 23-26, 2019, IEEE, 2019, pp. 1556-1561. DOI: https://doi.org/10.1109/CoDIT.2019.8820460
Li, R., Li, Y., “Localization of leader-follower formations using kinect and rtk-gps,” in 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), Bali, Indonesia, December 5-10, 2014, IEEE, 2014, pp. 908-913. DOI: https://doi.org/10.1109/ROBIO.2014.7090448
Zhang, J., Shao, X., Zhang, W., Na, J., “Path-following control capable of reinforcing transient performances for networked mobile robots over a single curve,” IEEE Transactions on Instrumentation and Measurement, Early Access, pp. 1-1, September 2022, DOI: https://doi.org/10.1109/TIM.2022.3201930
Liu, Y., Gao, J., Liu, C., Zhao, F., Zhao, J., “Reconfigurable formation control of multi-agents using virtual linkage approach,” Applied Sciences, vol. 8, issue 7, article no: 1109, July 2018, DOI: https://doi.org/10.3390/app8071109
Gao, K., Xin, J., Cheng, H., Liu, D., Li, J., “Multi-mobile robot autonomous navigation system for intelligent logistics,” in 2018 Chinese Automation Congress (CAC 2018), Xi’an, China, November 30 – December 02, 2018, IEEE, 2018, pp. 2603-2609. DOI: https://doi.org/10.1109/CAC.2018.8623343
Varol, O.F., “Control based heuristic motion planning in cooperative mobile robots,” M.S. thesis, Dept. of Control and Automation Eng., Yıldız Technical Univ., İstanbul, Türkiye, 2009.
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