Academic literature on the topic 'Communications multi-robots'

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Journal articles on the topic "Communications multi-robots"

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Patel, Jay, and Mae Seto. "CDMA-based multi-domain communications network for marine robots." Journal of the Acoustical Society of America 148, no. 4 (2020): 2510. http://dx.doi.org/10.1121/1.5146976.

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Pradhan, Buddhadeb, Nirmal Baran Hui, Diptendu Sinha Roy, Gautam Srivastava, and Jerry Chun-Wei Lin. "Game-Theoretic Strategic Coordination and Navigation of Multiple Wheeled Robots." ACM Transactions on Internet Technology 21, no. 4 (2021): 1–15. http://dx.doi.org/10.1145/3450521.

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Multiple robots negotiating in a dynamic workspace may lead to collisions. To avoid such issues, multi-robot navigation and coordination becomes necessary but is computationally very challenging, particularly when there are many robots. This article addresses the problem of multi-robot navigation where individual robots require coordination. Although a few such attempts for modeling multi-robot coordination and navigation have been studied, this work proposes a game-theoretic coordination strategy, also referred to as strategic coordination. We make use of a genetic algorithm tuned fuzzy logic
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Matos, Diogo, Pedro Costa, José Lima, and Paulo Costa. "Multi AGV Coordination Tolerant to Communication Failures." Robotics 10, no. 2 (2021): 55. http://dx.doi.org/10.3390/robotics10020055.

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Most path planning algorithms used presently in multi-robot systems are based on offline planning. The Timed Enhanced A* (TEA*) algorithm gives the possibility of planning in real time, rather than planning in advance, by using a temporal estimation of the robot’s positions at any given time. In this article, the implementation of a control system for multi-robot applications that operate in environments where communication faults can occur and where entire sections of the environment may not have any connection to the communication network will be presented. This system uses the TEA* to plan
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Xiao, Qi, Yunchuan Qin, Cheng Xu, and Kenli Li. "Secure Key Establishment Mechanism for Smart Sensing System Based Robots Network." Sensors 20, no. 7 (2020): 1970. http://dx.doi.org/10.3390/s20071970.

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The smart robot is playing an increasingly important role in the social economy, and multi-robot systems will be an important development in robotics. With smart sensing systems, the communications between sensors, actuators, and edge computing systems and robots are prone to be attacked due to the highly dynamic and distributed environment. Since smart robots are often distributed in open environments, as well as due to their limited hardware resources and security protection capabilities, the security requirements of their keys cannot be met with traditional key distribution algorithms. In t
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Miura, Ryu, Toshinori Kagawa, Fumie Ono, Lin Shan, Takashi Matsuda, and Fumihide Kojima. "Propagation Measurements of Multi-Hop Command and Telemetry Communications System in the 169 MHz Band for Drones." Journal of Robotics and Mechatronics 33, no. 2 (2021): 363–70. http://dx.doi.org/10.20965/jrm.2021.p0363.

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The 169 MHz band was assigned for unmanned vehicles such as robots and drones by the Ministry of Internal Affairs and Communications (MIC) in 2016 in Japan, according to the reallocation of the TV band from VHF (analog) to UHF (digital). This band is expected to have a long range and good diffraction characteristics during drone operation over a long range with obstacles such as buildings, trees, or terrains. In this paper, we present the prototype system and its propagation experiments of command and telemetry communications at 169 MHz, which is added to a multi-hop communication unit in the
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Bykovsky, Alexey. "Multiple-Valued Logic, Vocabulary Structure, and Linked List for Data Verification in Dialog Communications of Agents." Applied Sciences 15, no. 5 (2025): 2427. https://doi.org/10.3390/app15052427.

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Distant verification of the autonomous agent’s parameters in the dialog mode is a difficult multi-parametric task if the large-scale scene of action is characterized by a large number of collaborative and rival robots. The possible scheme to realize it for mass robots is to use non-exhaustive and selective data verification, combining the polling of internal subsystems and external data storage in collaborating network agents. Selective extraction of data for such checks is proposed to involve the special ordered set of vocabularies, containing coded digital words and classifying parameters of
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Wang, Hui, Jieren Cheng, Yichen Xu, Sirui Ni, Zaijia Yang, and Jiangpeng Li. "A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms." Security and Communication Networks 2023 (June 1, 2023): 1–16. http://dx.doi.org/10.1155/2023/7723164.

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Robot grasping is one of the most important abilities of modern intelligent robots, especially industrial robots. However, most of the existing robot arm’s grasp detection work is highly dependent on their edge computing ability, and the safety problems in the process of grasp detection are not considered enough. In this paper, we propose a new robotic arm grasping detection model with an edge-cloud collaboration method. With the scheme of multi-object multi-grasp, our model improves the mission success ratio of grasping. The model can not only complete the compression of full-resolution image
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Hamed, Oussama, Mohamed Hamlich, and Mohamed Ennaji. "Hunting strategy for multi-robot based on wolf swarm algorithm and artificial potential field." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 1 (2022): 159. http://dx.doi.org/10.11591/ijeecs.v25.i1.pp159-171.

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The cooperation and coordination in multi-robot systems is a popular topic in the field of robotics and artificial intelligence, thanks to its important role in solving problems that are better solved by several robots compared to a single robot. Cooperative hunting is one of the important problems that exist in many areas such as military and industry, requiring cooperation between robots in order to accomplish the hunting process effectively. This paper proposed a cooperative hunting strategy for a multi-robot system based on wolf swarm algorithm (WSA) and artificial potential field (APF) in
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Bae, Sanghyeon, Sunghyeon Joo, Junhyeon Choi, Jungwon Pyo, Hyunjin Park, and Taeyong Kuc. "Semantic Knowledge-Based Hierarchical Planning Approach for Multi-Robot Systems." Electronics 12, no. 9 (2023): 2131. http://dx.doi.org/10.3390/electronics12092131.

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Multi-robot systems have been used in many fields by utilizing parallel working robots to perform missions by allocating tasks and cooperating. For task planning, multi-robot systems need to solve complex problems that simultaneously consider the movement of the robots and the influence of each robot. For this purpose, researchers have proposed various methods for modeling and planning multi-robot missions. In particular, some approaches have been presented for high-level task planning by introducing semantic knowledge, such as relationships and domain rules, for environmental factors. This pa
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Gharbi, Atef, and Saleh M. Altowaijri. "A Multi-Robot-Based Architecture and a Trust Model for Intelligent Fault Management and Control Systems." Electronics 12, no. 17 (2023): 3679. http://dx.doi.org/10.3390/electronics12173679.

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One of the most important challenges in robotics is the development of a Multi-Robot-based control system in which the robot can make intelligent decisions in a changing environment. This paper proposes a robot-based control approach for dynamically managing robots in such a widely distributed production system. A Multi-Robot-based control system architecture is presented, and its main features are described. Such architecture facilitates the reconfiguration (either self-reconfiguration ensured by the robot itself or distributed reconfiguration executed by the Multi-Robot-based system). The di
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Dissertations / Theses on the topic "Communications multi-robots"

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Matthias, Rene [Verfasser]. "An Integrated Communications-Architecture for Multi-Modular Self-Reconfigurable Robots / Rene Matthias." München : Verlag Dr. Hut, 2013. http://d-nb.info/1045988006/34.

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Abu-Aisheh, Razanne. "Context-Aware Information Gathering and Processing Towards Supporting Autonomous Systems in Industry 4.0 Scenarios." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS022.

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Les environnements de l'industrie 4.0 se caractérisent par la coexistence d'un ensemble diversifié de dispositifs, notamment des capteurs, des écrans à réalité mixte, des robots, des drones et des objets intelligents. Ces systèmes doivent être capables de prendre de manière autonome les décisions critiques en temps voulu nécessaires à l'exécution de tâches complexes sans intervention humaine. Une application essentielle de l'industrie 4.0 est l'exploration et la cartographie multi-robots d'environnements inconnus, en particulier dans le cadre de missions critiques telles que la détection des d
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Kuo, Victor. "Enabling Parallel Wireless Communication in Mobile Robot Teams." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9410.

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Wireless inter-robot communication enables robot teams to cooperatively solve complex problems that cannot be addressed by a single robot. Applications for cooperative robot teams include search and rescue, exploration and surveillance. Communication is one of the most important components in future autonomous robot systems and is essential for core functions such as inter-robot coordination, neighbour discovery and cooperative control algorithms. In environments where communication infrastructure does not exist, decentralised multi-hop networks can be constructed using only the radios on-boar
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Gantsou, Engoua Dhavy. "Communication interprocessus dans les systèmes coopératifs multi-robots : Mise en œuvre dans l'environnement lcoop." Valenciennes, 1990. https://ged.uphf.fr/nuxeo/site/esupversions/bafc973d-42b2-4fd8-a1c1-eebbedde48f8.

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En raison de la complexité des tâches robotiques, la coopération entre des entités ou sites constituant un système coopératif multi-robot ne peut être efficace que si les interactions sont gérées par un système de communication adapte. Le travail présenté dans cette thèse porte essentiellement sur l'aspect logiciel de la communication dans un environnement multi-robot. Pour permettre de dégager la problématique de la communication dans ce cadre, les notions essentielles à la description d'une tache robotique sont d'abord mises en évidence. Les concepts permettant d'exprimer la communication, l
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rahman, md mahbubur. "Efficient Mission Planning for Robot Networks in Communication Constrained Environments." FIU Digital Commons, 2017. http://digitalcommons.fiu.edu/etd/3484.

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Many robotic systems are remotely operated nowadays that require uninterrupted connection and safe mission planning. Such systems are commonly found in military drones, search and rescue operations, mining robotics, agriculture, and environmental monitoring. Different robotic systems may employ disparate communication modalities such as radio network, visible light communication, satellite, infrared, Wi-Fi. However, in an autonomous mission where the robots are expected to be interconnected, communication constrained environment frequently arises due to the out of range problem or unavailabili
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TALAMINI, JACOPO. "Artificial Intelligence Strategies in Multi-agent Reinforcement Learning and Robotic Agents Evolution." Doctoral thesis, Università degli Studi di Trieste, 2021. http://hdl.handle.net/11368/2982151.

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Most of the theoretical foundations which have contributed to shape Artificial Intelligence (AI) as we know it come from the last century. The technological advancement of the last decades however, mainly in the form of faster parallel computation, larger memory units, and Big Data, has dramatically increased the popularity of AI within the research community. Far from being only a pure object of research, AI has been successful in many fields of applications, and it has become deeply integrated into our daily experiences. We live in a society in which on-demand content suggestions are tailor
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Mahdoui, Chedly Nesrine. "Communicating multi-UAV system for cooperative SLAM-based exploration." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2447/document.

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Dans la communauté robotique aérienne, un croissant intérêt pour les systèmes multirobot (SMR) est apparu ces dernières années. Cela a été motivé par i) les progrès technologiques, tels que de meilleures capacités de traitement à bord des robots et des performances de communication plus élevées, et ii) les résultats prometteurs du déploiement de SMR tels que l’augmentation de la zone de couverture en un minimum de temps. Le développement d’une flotte de véhicules aériens sans pilote (UAV: Unmanned Aerial Vehicle) et de véhicules aériens de petite taille (MAV: Micro Aerial Vehicle) a ouvert la
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Ajwad, Syed Ali. "Distributed control of multi-agent systems under communication constraints : application to robotics." Thesis, Poitiers, 2020. http://www.theses.fr/2020POIT2264.

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Les Systèmes Multi-Agents (SMA) ont gagné en popularité en raison de leur vaste gamme d'applications. Les SMA sont utilisés pour atteindre des objectifs complexes qui ne pourraient être atteints par un seul agent. La communication et l'échange d'informations entre les agents d'un SMA sont essentiels pour contrôler son comportement coopératif. Les agents partagent leurs informations avec leurs voisins pour atteindre un objectif commun, ils n'ont donc pas besoin d'unité centrale de surveillance. Cependant, la communication entre les agents est soumise à diverses contraintes pratiques. Ces contra
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Parodi, Olivier. "Simulation hybride pour la coordination de véhicules hétérogènes au sein d'une flottille." Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2008. http://tel.archives-ouvertes.fr/tel-00373347.

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Si l'utilisation d'un véhicule autonome présente un intérêt certain, l'utilisation simultanée de plusieurs robots, potentiellement différents permet d'améliorer la qualité des acquisitions et la rapidité avec lesquelles elles sont effectuées. Le déploiement de plateformes multi-capteurs sous-entend donc qu'il est nécessaire de mettre en œuvre une commande et une stratégie de commande coordonnée de la formation. Les difficultés de localisation et de communication rendent d'emblée la tâche difficile. Dès lors, il n'est plus concevable de mettre en œuvre une flottille d'engins autonomes sans avoi
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Basaran, Dilek. "Design, Production And Development Of Mini/micro Robots To Form A Cooperative Colony." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1058874/index.pdf.

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Design, production and development of individual mini/micro robots and then formation of their cooperative colony are the main topics of this thesis. The produced mini/micro robots are as small and light as possible. In addition, they are multifunctional (programmable), flexible and intelligent while maintaining a very low production cost. Mini/micro robots, called MinT-DB series are able to communicate with each other to work cooperatively. Moreover, these robots can be the basis for the future studies considering the application of artificial intelligence and modeling of live colonies in the
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Books on the topic "Communications multi-robots"

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Kagan, Eugene, Irad Ben-Gal, and Nir Shvalb. Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication, and Swarming. Wiley & Sons, Incorporated, John, 2019.

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Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming. Wiley & Sons, Limited, John, 2019.

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Kagan, Eugene, Irad Ben-Gal, and Nir Shvalb. Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication, and Swarming. Wiley & Sons, Incorporated, John, 2019.

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Kagan, Eugene, Irad Ben-Gal, and Nir Shvalb. Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication, and Swarming. Wiley & Sons, Limited, John, 2019.

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Book chapters on the topic "Communications multi-robots"

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Zhang, Fang Fang, Zhen Yu Zhu, and Ji Xian Gao. "Cooperative Multi-target Enclosing Control of Multi-robots Based on Virtual Target Points." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-7352-0_12.

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Dhoutaut, Dominique, Benoît Piranda, and Julien Bourgeois. "Multi-networks Communications in Large Set of Modular Robots." In Information Systems Engineering and Management. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66850-0_20.

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Chudý, Ján, Nestor Popov, and Pavel Surynek. "Multi-agent Path Finding and Acting with Small Reflex-Based Mobile Robots." In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19650-8_3.

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Sikora, Toma, and Vladan Papic. "Development of a Dynamic Multi-object Planning Framework for Autonomous Mobile Robots." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62058-4_13.

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Wang, Haonan, Biao Hu, and Zhengcai Cao. "Probability-Based Time-Optimal Motion Planning of Multi-robots Along Specified Paths." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4932-2_10.

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Bhuwana, Jakaisa Riskhalifah, Muhammad Zakiyullah Romdlony, Angga Rusdinar, Norhaliza Abdul Wahab, and Muhammad Azhar Ismail. "Safety Control with Conflict Resolution for Multi Robots in Flexible Manufacturing System." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4613-5_8.

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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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Kenzin, Maksim, Igor Bychkov, and Nikolai Maksimkin. "Hybrid Evolutionary Approach to Multi-objective Mission Planning for Group of Underwater Robots." In Communications in Computer and Information Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25058-8_8.

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Yang, Sen, Xinjun Mao, Yin Chen, and Shuo Yang. "A Multi-agent Organization Approach for Developing Social-Technical Software of Autonomous Robots." In Communications in Computer and Information Science. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2053-7_3.

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Adzinets, Dzmitry, and Eugene Alooeff. "Modeling the Intellectual Behavior of a Team of Robots Based on the Multi-agent Simulation Model." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84263-4_8.

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Conference papers on the topic "Communications multi-robots"

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Abegaz, Brook, Lorenzo Trentini, and Michael Quiroga. "Coordinated Motion Planning for Multi-Degrees of Freedom Industrial Robots using Edge Computing Devices." In 2025 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2025. https://doi.org/10.1109/icnc64010.2025.10994156.

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Wu, Chengxu. "The Application of Multi-physics Coupling in Deformation Sensing and Control of Soft Robots." In 2024 4th International Signal Processing, Communications and Engineering Management Conference (ISPCEM). IEEE, 2024. https://doi.org/10.1109/ispcem64498.2024.00027.

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Zhang, Heng, Xiaoxuan Hei, Juan Jose Garcia Cardenas, Xin Miao, and Adriana Tapus. "Toward a Multi-dimensional Humor Dataset for Social Robots." In 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). IEEE, 2024. http://dx.doi.org/10.1109/ro-man60168.2024.10731268.

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Huang, Xuanzhi, Wenting Wang, Xiang Pan, and Pengfei He. "Research on Multi-Sensor Data Fusion for Smart Elderly Care Robots." In 2024 International Conference on Intelligent Communication, Sensing and Electromagnetics (ICSE). IEEE, 2024. https://doi.org/10.1109/icse63502.2024.10899040.

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Choi, Younglim, BoJeong Park, JongWoo Kim, SeoYeong Mun, and Hyunseok Kim. "A Study on a Personalized Robot Golf Trainer System with Multi-Persona and Ethical Guidelines for Robots." In 2025 International Conference on Electronics, Information, and Communication (ICEIC). IEEE, 2025. https://doi.org/10.1109/iceic64972.2025.10879754.

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Patel, Jay, and Mae Seto. "CDMA-Based Multi-Domain Communications Network for Marine Robots." In WUWNET'19: International Conference on Underwater Networks & Systems. ACM, 2019. http://dx.doi.org/10.1145/3366486.3366520.

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Zhong, Xu, and Yu Zhou. "Establishing and Maintaining Wireless Communication Coverage Among Multiple Mobile Robots via Fuzzy Control." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47989.

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This paper addresses the critical issue of establishing and maintaining desired wireless communication connectivity in a team of collaborative mobile robots, which is highly demanded for reliable functioning of multi-robot systems but challenging in realistic environments. The signal propagation of wireless communications among mobile robots is affected by not only the transmission power and distance but also obstacles and other environmental conditions as well as robot movement, which result in signal loss, attenuation, multi-path fading and shadowing. Consequently, the communication conditio
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Park, Sujin, Jin Hong Jung, and Seong-Lyun Kim. "Cooperative path-finding of multi-robots with wireless multihop communications." In 6th International ICST Symposium on Modeling and Optimization. IEEE, 2008. http://dx.doi.org/10.4108/icst.wiopt2008.3229.

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Park, Sujin, Jin Hong Jung, and Seong-Lyun Kim. "Cooperative path-finding of multi-robots with wireless multihop communications." In 2008 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops (WiOPT). IEEE, 2008. http://dx.doi.org/10.1109/wiopt.2008.4586158.

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Mascarich, Frank, Huan Nguyen, Tung Dang, Shehryar Khattak, Christos Papachristos, and Kostas Alexis. "A Self-Deployed Multi-Channel Wireless Communications System for Subterranean Robots." In 2020 IEEE Aerospace Conference. IEEE, 2020. http://dx.doi.org/10.1109/aero47225.2020.9172496.

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