Relevant bibliographies by topics / Formations multi-robots

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Formations multi-robots'

Author: Grafiati
Published: 21 June 2022
Last updated: 31 July 2025

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Journal articles on the topic "Formations multi-robots"

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Barca, Jan Carlo, Eugene Eu-Juin Lee, and Ahmet Sekercioglu. "Flexible Morphogenesis based Formation Control for Multi-Robot Systems." IAES International Journal of Robotics and Automation (IJRA) 2, no. 1 (2013): 26. http://dx.doi.org/10.11591/ijra.v2i1.pp26-34.

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Inspired by how biological cells communicate with each other at a cell-to-cell level; morphogenesis emerged to be an effective way for local communication between homogenous robots in multi-robot systems. In this paper, we present the first steps towards a scalable morphogenesis style formation control technique, which address the drawbacks associated with current morphogenesis type formation control techniques, including their inability to distribute robots evenly across target shapes. A series of experiments, which demonstrate that the proposed technique enables groups of non-holonomic groun
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Rashid, Abdulmuttalib, Abduladhem Ali, and Mattia Frasca. "Polygon Shape Formation for Multi-Mobile Robots in a Global Knowledge Environment." Iraqi Journal for Electrical and Electronic Engineering 15, no. 1 (2019): 76–88. http://dx.doi.org/10.37917/ijeee.15.1.8.

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In coordination of a group of mobile robots in a real environment, the formation is an important task. Multimobile robot formations in global knowledge environments are achieved using small robots with small hardware capabilities. To perform formation, localization, orientation, path planning and obstacle and collision avoidance should be accomplished. Finally, several static and dynamic strategies for polygon shape formation are implemented. For these formations minimizing the energy spent by the robots or the time for achieving the task, have been investigated. These strategies have better e
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Cao, Kai, Yangquan Chen, Song Gao, Hang Zhang, and Haixin Dang. "Multi-Robot Formation Control Based on CVT Algorithm and Health Optimization Management." Applied Sciences 12, no. 2 (2022): 755. http://dx.doi.org/10.3390/app12020755.

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In view of the low formation redundancy in the traditional rigid formation algorithm and its difficulty in dynamically adapting to the external environment, this study considers the use of the CVT (centroidal Voronoi tessellation) algorithm to control multiple robots to form the desired formation. This method significantly increases the complexity of the multi-robot system, its structural redundancy, and its internal carrying capacity. First, we used the CVT algorithm to complete the Voronoi division of the global map, and then changed the centroid position of the Voronoi cell by adjusting the
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Lin, Y. C., C. H. Chen, K. L. Su, and J. H. Guo. "Image Recognition Method Applying in Formation Control of Mobile Robots." Applied Mechanics and Materials 190-191 (July 2012): 693–98. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.693.

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The article develops multi-pattern formation exchange using A* searching algorithm, and programs the shortest motion paths for mobile robots. The system contains an image recognition system, a motion platform, some wireless RF modules and five mobile robots. We use Otsu algorithm to recognize the variety 2D bar code to classify variety pattern, and control five mobile robots to execute formation exchange, and present the movement scenario on the motion platform. We have been developed some pattern formations according to game applications, such as hook pattern formation, T pattern formation, L
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Long, Robert, Ross Mead, and Jerry Weinberg. "Distributed Auction-Based Initialization of Mobile Robot Formations." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (2010): 1949–50. http://dx.doi.org/10.1609/aaai.v24i1.7792.

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The field of multi-robot coordination, specifically robot formation control, is rapidly expanding, with many applications proposed. In our previous work, we considered the problem of establishing and maintaining a formation of robots given an already connected network. We now propose a distributed auction-based method to autonomously initialize and reorganize the network structure of a formation of robots.
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Afdila, Ryandika, Fahmi Fahmi, and Arman Sani. "Distributed formation control for groups of mobile robots using consensus algorithm." Bulletin of Electrical Engineering and Informatics 12, no. 4 (2023): 2095–104. http://dx.doi.org/10.11591/beei.v12i4.3869.

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The increasing implementation of autonomous robots in industries and daily life demands the development of a robust control algorithm that enables robots to perform their tasks successfully. Critical tasks such as rescue missions and area exploration require robots to work cooperatively in a formation to accomplish the tasks quickly. Moreover, the existence of obstacles in the environment requires all the robots' to rapidly process environmental changes to maintain the formation pattern. Thus, this paper introduces a distributed robot formation control system using the consensus algorithm that
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Afdila, Ryandika, Fahmi Fahmi, and Arman Sani. "Distributed formation control for groups of mobile robots using consensus algorithm." Bulletin of Electrical Engineering and Informatics 12, no. 4 (2023): 2095–104. http://dx.doi.org/10.11591/eei.v12i4.3869.

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The increasing implementation of autonomous robots in industries and daily life demands the development of a robust control algorithm that enables robots to perform their tasks successfully. Critical tasks such as rescue missions and area exploration require robots to work cooperatively in a formation to accomplish the tasks quickly. Moreover, the existence of obstacles in the environment requires all the robots' to rapidly process environmental changes to maintain the formation pattern. Thus, this paper introduces a distributed robot formation control system using the consensus algorithm that
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Dasgupta, Prithviraj, Taylor Whipple, and Ke Cheng. "Effects of Multi-Robot Team Formations on Distributed Area Coverage." International Journal of Swarm Intelligence Research 2, no. 1 (2011): 44–69. http://dx.doi.org/10.4018/jsir.2011010103.

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This paper examines the problem of distributed coverage of an initially unknown environment using a multi-robot system. Specifically, focus is on a coverage technique for coordinating teams of multiple mobile robots that are deployed and maintained in a certain formation while covering the environment. The technique is analyzed theoretically and experimentally to verify its operation and performance within the Webots robot simulator, as well as on physical robots. Experimental results show that the described coverage technique with robot teams moving in formation can perform comparably with a
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Fan, Yushuai, Xun Li, Xin Liu, Shuo Cheng, and Xiaohua Wang. "Multi-robot consensus formation based on virtual spring obstacle avoidance." Mechanical Sciences 15, no. 1 (2024): 195–207. http://dx.doi.org/10.5194/ms-15-195-2024.

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Abstract. A systematic improvement of the multi-robot formation control algorithm has been developed to address multi-robot formation instability. First, a static obstacle avoidance model based on spring force mapping is proposed, followed by an analysis of the influence of static and dynamic obstacles on the processing of multi-robot cooperative motion. Second, a leader is introduced to the formation to save computational costs. Third, the Velocity Obstacle (VO) algorithm is improved to resolve robot collisions during the dynamic mobility process caused by the increased number of multi-robot
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Kwon, Ji-Wook, Sung-Jo Yun, Hyogon Kim, et al. "Coupled-Error-Based Formation Control for Rapid Formation Completion by Omni-Directional Robots." Applied Sciences 14, no. 11 (2024): 4465. http://dx.doi.org/10.3390/app14114465.

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This paper proposes a coupled-error-based formation control algorithm for the rapid formation completion of multi-robot systems. We consider a multi-robot system with omni-directional robots with swerve-driving mechanisms and a communication system with minimized constraints. This paper introduces a coupled error that links the distance errors with the leading robot and the following robot through a coupling ratio. We propose a controller using the coupled error to achieve the control objectives of this paper. Unlike existing results that only use the information of the preceding robot, this a
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Dissertations / Theses on the topic "Formations multi-robots"

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Erskine, Julian. "Dynamic Control and Singularities of Rigid Bearing-Based Formations of Quadrotors." Thesis, Ecole centrale de Nantes, 2021. http://www.theses.fr/2021ECDN0044.

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Le contrôle des formations basées sur les bearings (direction relative à l’observateur) permettent aux flottes de quadrirotors de se déplacer vers une géométrie désirée, en utilisant des mesures extraites de caméras embarquées. Des travaux antérieurs ont traité les quadrirotors comme des intégrateurs, et donc la formation doit ralentir de manière à compenser les non-linéarités non modélisées. Cette thèse a pour objectif d’atteindre des formations rapides en tenant compte des dynamiques non-linéaires du quadrirotor et des mesures visuelles. Deux contrôleurs sont développés, à savoir un contrôle
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Pruner, Elisha. "Control of Self-Organizing and Geometric Formations." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30491.

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Multi-vehicle systems offer many advantages in engineering applications such as increased efficiency and robustness. However, the disadvantage of multi-vehicle systems is that they require a high level of organization and coordination in order to successfully complete a task. Formation control is a field of engineering that addresses this issue, and provides coordination schemes to successfully implement multi-vehicle systems. Two approaches to group coordination were proposed in this work: geometric and self-organizing formations. A geometric reconfiguring formation was developed using the le
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Ögren, Petter. "Formations and Obstacle Avoidance in Mobile Robot Control." Doctoral thesis, KTH, Mathematics, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3555.

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<p>This thesis consists of four independent papers concerningthe control of mobile robots in the context of obstacleavoidance and formation keeping.</p><p>The first paper describes a new theoreticallyv erifiableapproach to obstacle avoidance. It merges the ideas of twoprevious methods, with complementaryprop erties, byusing acombined control Lyapunov function (CLF) and model predictivecontrol (MPC) framework.</p><p>The second paper investigates the problem of moving a fixedformation of vehicles through a partiallykno wn environmentwith obstacles. Using an input to state (ISS) formulation theco
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Chen, Haoyao. "Towards multi-robot formations : study on vision-based localization system /." access full-text access abstract and table of contents, 2009. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-meem-b3008295xf.pdf.

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Thesis (Ph.D.)--City University of Hong Kong, 2009.<br>"Submitted to Department of Manufacturing Engineering and Engineering Management in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 87-100)
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Benzerrouk, Ahmed. "Architecture de contrôle hybride pour systèmes multi-robots mobiles." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2011. http://tel.archives-ouvertes.fr/tel-00669559.

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La complexité inhérente à la coordination des mouvements d'un groupe de robots mobiles est traitée en investiguant plus avant les potentialités des architectures de contrôle comportementales dont le but est de briser la complexité des tâches à exécuter. En effet, les robots mobiles peuvent évoluer dans des environnements très complexes et nécessite de surcroît une coopération précise et sécurisée des véhicules pouvant rapidement devenir inextricable. Ainsi, pour maîtriser cette complexité, le contrôleur dédié à la réalisation de la tâche est décomposé en un ensemble de comportements/contrôleur
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Chu, Xing. "Commande distribuée, en poursuite, d'un système multi-robots non holonomes en formation." Thesis, Ecole centrale de Lille, 2017. http://www.theses.fr/2017ECLI0035/document.

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L’objectif principal de cette thèse est d’étudier le problème du contrôle de suivi distribué pour les systèmes de formation de multi-robots à contrainte non holonomique. Ce contrôle vise à entrainer une équipe de robots mobile de type monocycle pour former une configuration de formation désirée avec son centroïde se déplaçant avec une autre trajectoire de référence dynamique et pouvant être spécifié par le leader virtuel ou humain. Le problème du contrôle de suivi a été résolu au cours de cette thèse en développant divers contrôleurs distribués pratiques avec la considération d’un taux de conv
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Macdonald, Edward A. "Multi-robot assignment and formation control." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41200.

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Our research focuses on one of the more fundamental issues in multi-agent, mobile robotics: the formation control problem. The idea is to create controllers that cause robots to move into a predefined formation shape. This is a well studied problem for the scenario in which the robots know in advance to which point in the formation they are assigned. In our case, we assume this information is not given in advance, but must be determined dynamically. This thesis presents an algorithm that can be used by a network of mobile robots to simultaneously determine efficient robot assignments and forma
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Hattenberger, Gautier. "Vol en formation sans formation : contrôle et planification pour le vol en formation des avions sans pilote." Phd thesis, Université Paul Sabatier - Toulouse III, 2008. http://tel.archives-ouvertes.fr/tel-00353676.

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L'objet de cette thèse est l'étude et la mise en oeuvre d'un système de gestion automatique de la configuration d'une formation d'avions sans pilote, ou drones. Les objectifs sont, d'une part, d'améliorer la sécurité et l'efficacité d'un groupe de drones de combat, et, d'autre part, de faire le lien entre les niveaux de planification de missions et les niveaux fonctionnels de contrôle de la formation. Le vol en formation est particulièrement bien adapté pour des applications militaires en milieux hostiles, qui requièrent des synchronisations pour l'arrivée sur les cibles ou du support mutuel p
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Jiang, Wei. "Contrôle de la formation et du confinement variable dans le temps et entièrement distribué pour les systèmes multi-agents/ multi-robots." Thesis, Ecole centrale de Lille, 2018. http://www.theses.fr/2018ECLI0016/document.

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Cette thése traite du contrôle de la formation et du confinement variant dans le temps pour les systèmes multi-agents linéaires invariants avec hétérogénéité en tenant compte des délais d’entrée / sortie constants / variables dans le temps et des perturbations adaptées / incompatibles sous topologie de communication dirigée et fixe. De nouveaux formats de formes de formation variables dans le temps pour des systèmes homogènes et hétérogènes sont proposés. Les contrôleurs, conçus sur la base de techniques prédictives et adaptatives avec une technique d’observation, sont en
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Pippin, Charles Everett. "Trust and reputation for formation and evolution of multi-robot teams." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50376.

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Agents in most types of societies use information about potential partners to determine whether to form mutually beneficial partnerships. We can say that when this information is used to decide to form a partnership that one agent trusts another, and when agents work together for mutual benefit in a partnership, we refer to this as a form of cooperation. Current multi-robot teams typically have the team's goals either explicitly or implicitly encoded into each robot's utility function and are expected to cooperate and perform as designed. However, there are many situations in which robots may
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Book chapters on the topic "Formations multi-robots"

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Sanhoury, Ibrahim M. H., Shamsudin H. M. Amin, and Abdul Rashid Husain. "Synchronizing Multi-robots in Switching between Different Formations Tasks While Tracking a Line." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35197-6_4.

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Alouache, Ali, and Qinghe Wu. "Distributed Formation Tracking of Multi Robots with Trajectory Estimation." In Intelligent Distributed Computing XII. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99626-4_21.

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Lei, Bin, and Wenfeng Li. "Formation Control for Multi-robots Based on Flocking Algorithm." In Intelligent Robotics and Applications. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88513-9_131.

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Sun, Zhe, Fanjie Huang, Shujie Hu, and Bo Chen. "Formation Control of Multi-robots Using Backstepping Sliding Mode Control." In Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3998-3_79.

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Kataoka, Takayuki. "A Mathematical Model Considering Multi-skilled Operators and Industrial Robots on Reconfigurable Manufacturing Cells." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_39.

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AbstractA sustainable reconfigurable manufacturing system is one of the most important topics concerning sustainability. Basically, the reconfigurable manufacturing systems have two streams. One is the machine-intensive and the other is the labour-intensive. The machine-intensive means a cell formation problem (CFP) or a reconfigurable manufacturing system (RMS). On the other hand, the labour-intensive means a cellular manufacturing (CM) or a Cell Production System (CPS). Almost all manufacturing sites have these assembly lines separately, however, some advanced manufacturing sites have adopte
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Keshmiri, Soheil, and Shahram Payandeh. "A Centralized Framework to Multi-robots Formation Control: Theory and Application." In Collaborative Agents - Research and Development. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22427-0_7.

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Tong, Ruiyang, Wuxi Shi, and Baoquan Li. "Multi-mobile Robots Formation Control with Prescribed Performance in Polar Coordinates." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6886-2_66.

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Zhu, Zhangyi, Wuxi Shi, and Baoquan Li. "Path-Following Formation Control of Multi-mobile Robots Under Single Path." In Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20738-9_151.

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Liu, Xinqi, Jihua Wang, Ruopan Huang, and Wei Pan. "Multi-Robot Federated Edge Learning Framework for Efficient Coordination and Information Management in Smart Construction." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.54.

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Smart construction involves a growing array of devices that generate extensive data, capable of enhancing construction efficiency and productivity. Nonetheless, the handling of this diverse and abundant information, along with the geographical spread of construction sites, poses challenges to effective communication and information processing within the management system. Multi-robot systems, as a new type of Internet of Things device, have the potential ability to coordinate workers to complete their work while serving as an edge node for information storage and processing. This paper present
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Liu, Xinqi, Jihua Wang, Ruopan Huang, and Wei Pan. "Multi-Robot Federated Edge Learning Framework for Efficient Coordination and Information Management in Smart Construction." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.54.

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Smart construction involves a growing array of devices that generate extensive data, capable of enhancing construction efficiency and productivity. Nonetheless, the handling of this diverse and abundant information, along with the geographical spread of construction sites, poses challenges to effective communication and information processing within the management system. Multi-robot systems, as a new type of Internet of Things device, have the potential ability to coordinate workers to complete their work while serving as an edge node for information storage and processing. This paper present
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Conference papers on the topic "Formations multi-robots"

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Elsheshtawy, Mohamed Amr, Mai Ahmed Mira, El-Sayed Imam Morgan, and Omar M. Shehata. "Formation Control for Multi-Quadruped Robots in Cooperative Application." In 2024 International Conference on Computer and Applications (ICCA). IEEE, 2024. https://doi.org/10.1109/icca62237.2024.10927990.

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Wang, Zhongsen, Jianxu Mao, Haoran Tan, Yaonan Wang, and Lina Bi. "Rigidity-based Cooperative Formation Control of Nonholonomic Multi-mobile Robots for Heavy Workpieces Moving." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10662604.

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Li, Yong, Liaoning Chai, and Chao Wu. "Multi-Robot Formation Obstacle Avoidance Based on Virtual Robots and Improved Artificial Potential Fields." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10864998.

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B, Sreenath, Jeevamma Jacob, Mija S J, and Sera Mathew. "Formation Acquisition of a Multi-Agent System with Nonholonomic Dynamic Model of Wheeled Mobile Robots Using Model Predictive Control." In 2024 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2024. http://dx.doi.org/10.1109/raics61201.2024.10690123.

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Azetsu, Keisuke, Almira Budiyanto, and Nobutomo Matsunaga. "Fast Learning for Multi-Agent with Combination of Imitation Learning and Model-Based Learning for Formation Change of Transport Robots." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650255.

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Sugawara, Ken. "Collective Motions and Formations of Multi-robots Based on Simple Dynamics." In 2007 IEEE/ICME International Conference on Complex Medical Engineering. IEEE, 2007. http://dx.doi.org/10.1109/iccme.2007.4381705.

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Sousa, Miguel, Sergio Monteiro, Toni Machado, Wolfram Erlhagen, and Estela Bicho. "Multi-robot cognitive formations." In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012). IEEE, 2012. http://dx.doi.org/10.1109/iros.2012.6385833.

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Cossette, Charles Champagne, Mohammed Ayman Shalaby, David Saussie, Jerome Le Ny, and James Richard Forbes. "Optimal Multi-robot Formations for Relative Pose Estimation Using Range Measurements." In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022. http://dx.doi.org/10.1109/iros47612.2022.9981301.

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Shuqin, Li, Zhao Qiwei, and Yuan Xiaohua. "Mobile multi-robots formation control and its implementation." In 2010 14th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2010. http://dx.doi.org/10.1109/cscwd.2010.5471923.

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Mehrjerdi, Hasan, Maarouf Saad, and Jawhar Ghommam. "Multi mobile robots formation in presence of obstacles." In 2011 IEEE International Conference on Mechatronics (ICM). IEEE, 2011. http://dx.doi.org/10.1109/icmech.2011.5971339.

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