
CLC number: TP242.6
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2022-12-31
Cited: 0
Clicked: 3401
Citations: Bibtex RefMan EndNote GB/T7714
Zichao XING, Xingkai WANG, Shuo WANG, Weimin WU, Ruifen HU. A novel motion coordination method for variable-sized multi-mobile robots[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2200160 @article{title="A novel motion coordination method for variable-sized multi-mobile robots", %0 Journal Article TY - JOUR
一种新型变尺寸多移动机器人的运动协同方法浙江大学智能系统与控制研究所,工业控制技术国家重点实验室,中国杭州市,310027 摘要:多移动机器人系统(MMRS)广泛用于制造业和仓储等工业场景的运输。在MMRS中,碰撞和死锁可能导致财产损失或系统停滞,因此运动协同十分重要。然而,在一些场景中,机器人尺寸在载货和未载货时是不同的,即机器人尺寸是变化的,这使得运动协同更具挑战性。基于区域控制的方法首先需要将环境划分为不相交区域,然后通过区域的分配静态或动态地进行运动协同。但是,这种基于区域控制的方法对于变尺寸机器人不够精确,降低系统效率。因此,提出一种基于粘连节点的运动协调方法,可基于路线图和机器人实时路径动态避免碰撞和死锁。粘连节点的动态特性使该方法不必对环境分区即可适用于各种场景。所提方法已应用于多个工业项目,本文基于一些制造业项目进行实验。理论分析和实验结果表明所提算法是有效和高效的。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
Reference[1]Alonso-Mora J, Breitenmoser A, Rufli M, et al., 2013. Optimal reciprocal collision avoidance for multiple non-holonomic robots. 10th Int Symp on Distributed Autonomous Robotic Systems, p.203-216. ![]() [2]Alonso-Mora J, DeCastro JA, Raman V, et al., 2018. Reactive mission and motion planning with deadlock resolution avoiding dynamic obstacles. Auton Robot, 42(4):801-824. ![]() [3]Chen HF, Wu NQ, Zhou MC, 2016. A novel method for deadlock prevention of AMS by using resource-oriented Petri nets. Inform Sci, 363:178-189. ![]() [4]Coffman EG, Elphick M, Shoshani A, 1971. System deadlocks. ACM Comput Surv, 3(2):67-78. ![]() [5]de Ryck M, Versteyhe M, Debrouwere F, 2020. Automated guided vehicle systems, state-of-the-art control algorithms and techniques. J Manuf Syst, 54:152-173. ![]() [6]Draganjac I, Petrović T, Miklić D, et al., 2020. Highly-scalable traffic management of autonomous industrial transportation systems. Robot Comput-Integr Manuf, 63:101915. ![]() [7]Fanti MP, Mangini AM, Pedroncelli G, et al., 2015. Decentralized deadlock-free control for AGV systems. American Control Conf, p.2414-2419. ![]() [8]Guruji AK, Agarwal H, Parsediya DK, 2016. Time-efficient A* algorithm for robot path planning. Proc Technol, 23:144-149. ![]() [9]Habermann AN, 1969. Prevention of system deadlocks. Commun ACM, 12(7):373-377,385. ![]() [10]Jager M, Nebel B, 2001. Decentralized collision avoidance, deadlock detection, and deadlock resolution for multiple mobile robots. Proc IEEE/RSJ Int Conf on Intelligent Robots and Systems, Expanding the Societal Role of Robotics in the Next Millennium, p.1213-1219. ![]() [11]Krnjak A, Draganjac I, Bogdan S, et al., 2015. Decentralized control of free ranging AGVs in warehouse environments. IEEE Int Conf on Robotics and Automation, p.2034-2041. ![]() [12]Li Q, Pogromsky A, Adriaansen T, et al., 2016. A control of collision and deadlock avoidance for automated guided vehicles with a fault-tolerance capability. Int J Adv Robot Syst, 13(2):64. ![]() [13]Luo JL, Wan YX, Wu WM, et al., 2020. Optimal Petri-net controller for avoiding collisions in a class of automated guided vehicle systems. IEEE Trans Intell Transp Syst, 21(11):4526-4537. ![]() [14]Małopolski W, 2018. A sustainable and conflict-free operation of AGVs in a square topology. Comput Ind Eng, 126:472-481. ![]() [15]Moorthy RL, Hock-Guan W, Wing-Cheong N, et al., 2003. Cyclic deadlock prediction and avoidance for zone-controlled AGV system. Int J Prod Econ, 83(3):309-324. ![]() [16]Reveliotis S, 2020. An MPC scheme for traffic coordination in open and irreversible, zone-controlled, guidepath-based transport systems. IEEE Trans Autom Sci Eng, 17(3):1528-1542. ![]() [17]Tarjan R, 1971. Depth-first search and linear graph algorithms. 12th Annual Symp on Switching and Automata Theory, p.114-121. ![]() [18]Wang X, Kloetzer M, Mahulea C, et al., 2015. Collision avoidance of mobile robots by using initial time delays. 54th IEEE Conf on Decision and Control, p.324-329. ![]() [19]Willms AR, Yang SX, 2006. An efficient dynamic system for real-time robot-path planning. IEEE Trans Syst Man Cybern Part B Cybern, 36(4):755-766. ![]() [20]Wu NQ, Zhou MC, 2007. Deadlock resolution in automated manufacturing systems with robots. IEEE Trans Autom Sci Eng, 4(3):474-480. ![]() [21]Xing KY, Wang F, Zhou MC, et al., 2018. Deadlock characterization and control of flexible assembly systems with Petri nets. Automatica, 87:358-364. ![]() [22]Xing ZC, Chen XY, Wang XK, et al., 2022. Collision and deadlock avoidance in multi-robot systems based on glued nodes. IEEE/CAA J Autom Sin, 9(7):1327-1330. ![]() [23]Yoo JW, Sim ES, Cao CX, et al., 2005. An algorithm for deadlock avoidance in an AGV system. Int J Adv Manuf Technol, 26(5):659-668. ![]() [24]Yu JJ, LaValle SM, 2016. Optimal multirobot path planning on graphs: complete algorithms and effective heuristics. IEEE Trans Robot, 32(5):1163-1177. ![]() [25]Zając J, Małopolski W, 2021. Structural on-line control policy for collision and deadlock resolution in multi-AGV systems. J Manuf Syst, 60:80-92. ![]() [26]Zhang LJ, Kim YJ, Manocha D, 2007. A hybrid approach for complete motion planning. IEEE/RSJ Int Conf on Intelligent Robots and Systems, p.7-14. ![]() [27]Zhao YL, Liu XP, Wu SB, et al., 2021. Spare zone based hierarchical motion coordination for multi-AGV systems. Simul Model Pract Theory, 109:102294. ![]() [28]Zhong MS, Yang YS, Dessouky Y, et al., 2020. Multi-AGV scheduling for conflict-free path planning in automated container terminals. Comput Ind Eng, 142:106371. ![]() [29]Zhou Y, Hu HS, Liu Y, et al., 2020. A distributed method to avoid higher-order deadlocks in multi-robot systems. Automatica, 112:108706. ![]() Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou
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