Auswahl der wissenschaftlichen Literatur zum Thema „Communications multi-robots“
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Zeitschriftenartikel zum Thema "Communications multi-robots"
Patel, Jay, und Mae Seto. „CDMA-based multi-domain communications network for marine robots“. Journal of the Acoustical Society of America 148, Nr. 4 (Oktober 2020): 2510. http://dx.doi.org/10.1121/1.5146976.
Der volle Inhalt der QuellePradhan, Buddhadeb, Nirmal Baran Hui, Diptendu Sinha Roy, Gautam Srivastava und Jerry Chun-Wei Lin. „Game-Theoretic Strategic Coordination and Navigation of Multiple Wheeled Robots“. ACM Transactions on Internet Technology 21, Nr. 4 (16.07.2021): 1–15. http://dx.doi.org/10.1145/3450521.
Der volle Inhalt der QuelleMatos, Diogo, Pedro Costa, José Lima und Paulo Costa. „Multi AGV Coordination Tolerant to Communication Failures“. Robotics 10, Nr. 2 (27.03.2021): 55. http://dx.doi.org/10.3390/robotics10020055.
Der volle Inhalt der QuelleXiao, Qi, Yunchuan Qin, Cheng Xu und Kenli Li. „Secure Key Establishment Mechanism for Smart Sensing System Based Robots Network“. Sensors 20, Nr. 7 (01.04.2020): 1970. http://dx.doi.org/10.3390/s20071970.
Der volle Inhalt der QuelleMiura, Ryu, Toshinori Kagawa, Fumie Ono, Lin Shan, Takashi Matsuda und 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, Nr. 2 (20.04.2021): 363–70. http://dx.doi.org/10.20965/jrm.2021.p0363.
Der volle Inhalt der QuelleWang, Hui, Jieren Cheng, Yichen Xu, Sirui Ni, Zaijia Yang und Jiangpeng Li. „A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms“. Security and Communication Networks 2023 (01.06.2023): 1–16. http://dx.doi.org/10.1155/2023/7723164.
Der volle Inhalt der QuelleHamed, Oussama, Mohamed Hamlich und 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, Nr. 1 (01.01.2022): 159. http://dx.doi.org/10.11591/ijeecs.v25.i1.pp159-171.
Der volle Inhalt der QuelleBae, Sanghyeon, Sunghyeon Joo, Junhyeon Choi, Jungwon Pyo, Hyunjin Park und Taeyong Kuc. „Semantic Knowledge-Based Hierarchical Planning Approach for Multi-Robot Systems“. Electronics 12, Nr. 9 (06.05.2023): 2131. http://dx.doi.org/10.3390/electronics12092131.
Der volle Inhalt der QuelleGharbi, Atef, und Saleh M. Altowaijri. „A Multi-Robot-Based Architecture and a Trust Model for Intelligent Fault Management and Control Systems“. Electronics 12, Nr. 17 (31.08.2023): 3679. http://dx.doi.org/10.3390/electronics12173679.
Der volle Inhalt der QuelleRajesh, M., S. R. Nagaraja und P. Suja. „Multi – Robot Exploration Supported by Enhanced Localization with Reduction of Localization Error Using Particle Swarm Optimization“. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 15, Nr. 1 (29.03.2024): 202–15. http://dx.doi.org/10.58346/jowua.2024.i1.014.
Der volle Inhalt der QuelleDissertationen zum Thema "Communications multi-robots"
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.
Der volle Inhalt der QuelleAbu-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.
Der volle Inhalt der QuelleIndustry 4.0 environments are characterized by the coexistence of a diverse set of devices, including sensors, mixed-reality displays, robots, drones, and smart objects. These systems must be capable of autonomously taking critical in-time decisions necessary to perform complex tasks without human input. One essential application for Industry 4.0 is multi-robot exploration and mapping of unknown environments, especially in critical missions such as hazard detection and search and rescue. These missions share the need to reach full coverage of the explorable space in the shortest time possible. To minimize completion time, robots in the fleet must be able to exchange information about the environment reliably with one another. However, existing exploration and mapping algorithms suffer from inaccuracies and inefficiencies due to their lack of contextual awareness of their surroundings, especially in terms of communications, lacking flexibility and adaptability to the environment, and hence, adding unnecessary delay to the mission at hand. In this thesis, we investigate the impact of communication awareness on the performance of multi-robot exploration and mapping expeditions, in terms of time to completion. We evaluate existing research in the field and demonstrate the impact of not considering communication impairments when designing such algorithms. From there, we propose Atlas, an exploration and mapping algorithm that natively takes packet loss into account, with a 100% completion ratio even with Packet Delivery Ratios (PDRs) as low as 0.1. However, Atlas on its own cannot handle scenarios where connectivity is completely lost. It also adds a significant delay to the completion of the mission, as lost packets keep getting re-transmitted periodically until they are received. One solution is relay placement. Most research on relay placement for multi-robot expeditions tend to fall into two categories. First, communication-aware relay placement based on initial Received Signal Strength Indicator (RSSI) is used. However, this requires running a full mission prior to the exploration to find the optimal position for the relays to be placed. Second, maintaining a distance (specified prior to the mission) between relays and exploration robots. These methods add to the time it takes to complete the mission. The research question becomes how can we place relays to maintain communication as reliable as possible, and also dynamically throughout the exploration mission without prior knowledge of the environment, in a way that reduces delay to the exploration and mapping time to completion. We solve this by proposing ``Connectivity Aware Relay Algorithm'' (CARA), a dynamic context-aware relay placement algorithm that does not require any prior knowledge of the environment. We developed an open-source simulator for multi-robot expeditions which we used to test both algorithms against state-of-the-art algorithms. Using both Atlas and CARA results in a dynamic context-aware multi-robot expedition that autonomously builds a map of a fully unknown environment, while dynamically placing relays when needed to maintain connectivity that outperforms state-of-the-art algorithms, in terms of time to completion, by a factor of 10
Kuo, Victor. „Enabling Parallel Wireless Communication in Mobile Robot Teams“. Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9410.
Der volle Inhalt der QuelleGantsou, 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.
Der volle Inhalt der Quellerahman, md mahbubur. „Efficient Mission Planning for Robot Networks in Communication Constrained Environments“. FIU Digital Commons, 2017. http://digitalcommons.fiu.edu/etd/3484.
Der volle Inhalt der QuelleTALAMINI, 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.
Der volle Inhalt der QuelleMahdoui, Chedly Nesrine. „Communicating multi-UAV system for cooperative SLAM-based exploration“. Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2447/document.
Der volle Inhalt der QuelleIn the aerial robotic community, a growing interest for Multi-Robot Systems (MRS) appeared in the last years. This is thanks to i) the technological advances, such as better onboard processing capabilities and higher communication performances, and ii) the promising results of MRS deployment, such as increased area coverage in minimum time. The development of highly efficient and affordable fleet of Unmanned Aerial Vehicles (UAVs) and Micro Aerial Vehicles (MAVs) of small size has paved the way to new large-scale applications, that demand such System of Systems (SoS) features in areas like security, disaster surveillance, inundation monitoring, search and rescue, infrastructure inspection, and so on. Such applications require the robots to identify their environment and localize themselves. These fundamental tasks can be ensured by the exploration mission. In this context, this thesis addresses the cooperative exploration of an unknown environment sensed by a team of UAVs with embedded vision. We propose a multi-robot framework where the key problem is to cooperatively choose specific regions of the environment to be simultaneously explored and mapped by each robot in an optimized manner in order to reduce exploration time and, consequently, energy consumption. Each UAV is able to performSimultaneous Localization And Mapping (SLAM) with a visual sensor as the main input sensor. To explore the unknown regions, the targets – selected from the computed frontier points lying between free and unknown areas – are assigned to robots by considering a trade-off between fast exploration and getting detailed grid maps. For the sake of decision making, UAVs usually exchange a copy of their local map; however, the novelty in this work is to exchange map frontier points instead, which allow to save communication bandwidth. One of the most challenging points in MRS is the inter-robot communication. We study this part in both topological and typological aspects. We also propose some strategies to cope with communication drop-out or failure. Validations based on extensive simulations and testbeds are presented
Ajwad, Syed Ali. „Distributed control of multi-agent systems under communication constraints : application to robotics“. Thesis, Poitiers, 2020. http://www.theses.fr/2020POIT2264.
Der volle Inhalt der QuelleMulti-agent systems (MAS) have gained much popularity due to their vast range of applications. MAS is deployed to achieve more complex goals which could not be realized by a single agent alone. Communication and information exchange among the agents in a MAS is crucial to control its cooperative behavior. Agents share their information with their neighbors to reach a common objective, thus do not require any central monitoring unit. However, the communication among the agents is subject to various practical constraints. These constraints include irregular and asynchronous sampling periods and the availability of partial states only. Such constraints pose significant theoretical and practical challenges. In this thesis, we investigate two fundamental problems related to distributed cooperative control, namely consensus and formation control, of double-integrator MAS under these constraints. It is considered that each agent in the network can measure and transmit its position state only at nonuniform and asynchronous sampling instants. Moreover, the velocity and acceleration are not available. First, we study the problem of distributed control of leader-following consensus. A continuous-discrete time observer based leader-following algorithm is proposed. The observer estimates the position and velocity of the agent and its neighbor in continuous time from the available sampled position data. Then these estimated states are used for the computation of the control input. Both fixed and switching topology scenarios are discussed. Secondly, a consensus based distributed formation tracking protocol is designed to achieve both fixed and time-varying formation patterns. Collision avoidance problem is also studied in this thesis. An Artificial Potential Function (APF) based collision avoidance mechanism is incorporated with the formation tracking algorithm to prevent collisions between the agents while converging to a desired position. Finally, the proposed algorithms are applied on a multi-robot network, consisting of differential drive robots using Robot Operating System (ROS). A new scheme is proposed to deal with nonholonomic constraints of the robot. Efficiency of the designed algorithms and their effectiveness in real world applications are shown through both simulation and hardware results
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.
Der volle Inhalt der QuelleLa complexité des architectures de contrôle d'une part et les difficultés soulevées par le choix de stratégies de contrôle multi-véhicules d'autre part, rendent nécessaires la création de nouveaux outils de simulation permettant de tester et valider lois de commande et architectures de contrôle tout en détectant les inconsistances préliminaires des scenarios envisagés. L'objet de cette thèse est donc l'étude d'un outil de simulation collaboratif appelé THETIS.
Il s'agit d'un simulateur conçu avant tout pour aborder les problèmes liés au contexte de la flottille. Il est multi-véhicules hétérogènes puisqu'il permet de simuler par exemple, un scenario dans lequel un AUV (Autonomous Underwater Vehicle) et un ASV (Autonomous Surface Vehicle) interviennent simultanément. Les véhicules peuvent communiquer entre eux au sein de la simulation et les contraintes liées au milieu de propagation (interférences, bande passante, atténuation...) d'une part et à l'utilisation de matériel spécifique (temps de réveil, conflit émission/réception...) d'autre part sont prises en compte. L'architecture du simulateur est ouverte pour faciliter l'intégration et la mise à disposition pour tous, du travail de modélisation des différentes équipes possédant des compétences propres, tout en favorisant la réutilisabilité et la modularité de ces modèles. La capacité du système proposé à réaliser des simulations Hardware-In-The-Loop permet de tester et valider le comportement temporel du contrôleur. Par ailleurs ce simulateur est distribué afin de pouvoir étendre dynamiquement la puissance de calcul nécessitée par l'augmentation du nombre de véhicules et/ou la complexification des modèles, tout en respectant les contraintes temps-réel et le découplage temporel entre la commande et l'évolution des modèles dynamiques.
THETIS est donc un des seuls outils à l'heure actuelle répondant aux contraintes liées au contexte de la simulation de robots marins en flottille. Nous présentons des tests préliminaires mettant en œuvre un AUV de classe Taipan (développée au LIRMM en France) d'une part et un ASV Charlie (développé par l'ISSIA en Italie) d'autre part qui possèdent des architectures de contrôle différentes, et démontrons ainsi la faisabilité et la validité de notre approche.
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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Bücher zum Thema "Communications multi-robots"
Kagan, Eugene, Irad Ben-Gal und Nir Shvalb. Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication, and Swarming. Wiley & Sons, Incorporated, John, 2019.
Den vollen Inhalt der Quelle findenAutonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming. Wiley & Sons, Limited, John, 2019.
Den vollen Inhalt der Quelle findenKagan, Eugene, Irad Ben-Gal und Nir Shvalb. Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication, and Swarming. Wiley & Sons, Incorporated, John, 2019.
Den vollen Inhalt der Quelle findenKagan, Eugene, Irad Ben-Gal und Nir Shvalb. Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication, and Swarming. Wiley & Sons, Limited, John, 2019.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Communications multi-robots"
Chudý, Ján, Nestor Popov und Pavel Surynek. „Multi-agent Path Finding and Acting with Small Reflex-Based Mobile Robots“. In Communications in Computer and Information Science, 51–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19650-8_3.
Der volle Inhalt der QuelleWang, Haonan, Biao Hu und Zhengcai Cao. „Probability-Based Time-Optimal Motion Planning of Multi-robots Along Specified Paths“. In Communications in Computer and Information Science, 138–53. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4932-2_10.
Der volle Inhalt der QuelleSanhoury, Ibrahim M. H., Shamsudin H. M. Amin und Abdul Rashid Husain. „Synchronizing Multi-robots in Switching between Different Formations Tasks While Tracking a Line“. In Communications in Computer and Information Science, 28–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35197-6_4.
Der volle Inhalt der QuelleKenzin, Maksim, Igor Bychkov und Nikolai Maksimkin. „Hybrid Evolutionary Approach to Multi-objective Mission Planning for Group of Underwater Robots“. In Communications in Computer and Information Science, 73–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25058-8_8.
Der volle Inhalt der QuelleYang, Sen, Xinjun Mao, Yin Chen und Shuo Yang. „A Multi-agent Organization Approach for Developing Social-Technical Software of Autonomous Robots“. In Communications in Computer and Information Science, 24–38. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2053-7_3.
Der volle Inhalt der QuelleMinor, Katarzyna, Emmet McLoughlin und Vicky Richards. „Enhancing the Visitor Experience in the Time of COVID 19: The Use of AI Robotics in Pembrokeshire Coastal Pathway“. In Information and Communication Technologies in Tourism 2021, 570–77. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65785-7_55.
Der volle Inhalt der QuelleOgawa, Jun. „Evolutionary Multi-objective Optimization for Evolving Soft Robots in Different Environments“. In Bio-inspired Information and Communication Technologies, 112–31. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24202-2_9.
Der volle Inhalt der QuelleSugie, Ryuta, Takahiro Uchiya und Ichi Takumi. „Investigation Using Multi-Agent Simulation Environment for Evacuation Guidance with Robots“. In Advances on Broad-Band Wireless Computing, Communication and Applications, 834–43. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69811-3_75.
Der volle Inhalt der QuelleLiu, Xinqi, Jihua Wang, Ruopan Huang und 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, 553–63. Florence: Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.54.
Der volle Inhalt der QuelleLiu, Xinqi, Jihua Wang, Ruopan Huang und 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, 553–63. Florence: Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.54.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Communications multi-robots"
Patel, Jay, und Mae Seto. „CDMA-Based Multi-Domain Communications Network for Marine Robots“. In WUWNET'19: International Conference on Underwater Networks & Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3366486.3366520.
Der volle Inhalt der QuelleZhong, Xu, und 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.
Der volle Inhalt der QuellePark, Sujin, Jin Hong Jung und 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.
Der volle Inhalt der QuellePark, Sujin, Jin Hong Jung und 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.
Der volle Inhalt der QuelleMascarich, Frank, Huan Nguyen, Tung Dang, Shehryar Khattak, Christos Papachristos und 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.
Der volle Inhalt der QuelleFan, Weihong, Xuanping Cai, Dongxiang Zhou und Li Lu. „Modeling and analysis of active sensor networks based on multi-robots“. In 2010 Second Pacific-Asia Conference on Circuits,Communications and System (PACCS). IEEE, 2010. http://dx.doi.org/10.1109/paccs.2010.5626079.
Der volle Inhalt der QuelleUr Rahman, Anis, Asad Waqar Malik, Hasan Ali Khattak und Moayad Aloqaily. „Task Offloading Using Multi-Armed Bandit Optimization in Autonomous Mobile Robots“. In IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2023. http://dx.doi.org/10.1109/infocomwkshps57453.2023.10226072.
Der volle Inhalt der QuelleJones, J. P., M. Beckerman und R. C. Mann. „Design and Implementation of Two Concurrent Multi-Sensor Integration Algorithms for Mobile Robots l“. In 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, herausgegeben von Paul S. Schenker. SPIE, 1990. http://dx.doi.org/10.1117/12.969984.
Der volle Inhalt der QuelleKok Seng Eu und Kian Meng Yap. „Enhanced position based routing protocols for multi-sniffer robots to perform odour source localisation“. In International Conference on Frontiers of Communications, Networks and Applications (ICFCNA 2014 - Malaysia). Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/cp.2014.1420.
Der volle Inhalt der QuelleKagawa, Toshinori, Fumie Ono, Lin Shan, Kenichi Takizawa, Ryu Miura, Huan-Bang Li, Fumihide Kojima und Shin Kato. „A study on latency-guaranteed multi-hop wireless communication system for control of robots and drones“. In 2017 20th International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, 2017. http://dx.doi.org/10.1109/wpmc.2017.8301849.
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