Auswahl der wissenschaftlichen Literatur zum Thema „Quadrotors swarm“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Inhaltsverzeichnis
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "Quadrotors swarm" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "Quadrotors swarm"
Nakano, Reiichiro Christian S., Ryan Rhay P. Vicerra, Laurence A. Gan Lim, Edwin Sybingco, Elmer P. Dadios und Argel A. Bandala. „Utilization of the Physicomimetics Framework for Achieving Local, Decentralized, and Emergent Behavior in a Swarm of Quadrotor Unmanned Aerial Vehicles (QUAV)“. Journal of Advanced Computational Intelligence and Intelligent Informatics 21, Nr. 2 (15.03.2017): 189–96. http://dx.doi.org/10.20965/jaciii.2017.p0189.
Der volle Inhalt der QuelleXie, Yichen, Yuzhu Li und Wei Dong. „Behavior Prediction Based Trust Evaluation for Adaptive Consensus of Quadrotors“. Drones 6, Nr. 12 (22.11.2022): 371. http://dx.doi.org/10.3390/drones6120371.
Der volle Inhalt der QuelleJoelianto, Endra, Daniel Christian und Agus Samsi. „Swarm control of an unmanned quadrotor model with LQR weighting matrix optimization using genetic algorithm“. Journal of Mechatronics, Electrical Power, and Vehicular Technology 11, Nr. 1 (30.07.2020): 1. http://dx.doi.org/10.14203/j.mev.2020.v11.1-10.
Der volle Inhalt der QuelleKhodayari, Houri, Farshad Pazooki und AliReza Khodayari. „Motion optimization algorithm designing for swarm quadrotors in application of grasping objects“. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, Nr. 11 (26.11.2018): 3938–51. http://dx.doi.org/10.1177/0954410018812615.
Der volle Inhalt der QuelleApriaskar, Esa. „PURWARUPA SISTEM PENDETEKSI JARAK ANTAR QUADROTOR DENGAN SENSOR GPS“. INOVTEK POLBENG 8, Nr. 2 (31.12.2018): 250. http://dx.doi.org/10.35314/ip.v8i2.768.
Der volle Inhalt der QuelleFaelden, Gerard Ely U., Ryan Rhay P. Vicerra, Laurence A. Gan Lim, Edwin Sybingco, Elmer P. Dadios und Argel A. Bandala. „Implementation of Swarm Social Foraging Behavior in Unmanned Aerial Vehicle (UAV) Quadrotor Swarm“. Journal of Advanced Computational Intelligence and Intelligent Informatics 21, Nr. 2 (15.03.2017): 197–204. http://dx.doi.org/10.20965/jaciii.2017.p0197.
Der volle Inhalt der QuelleCardona, Gustavo A., Juan Ramirez-Rugeles, Eduardo Mojica-Nava und Juan M. Calderon. „Visual victim detection and quadrotor-swarm coordination control in search and rescue environment“. International Journal of Electrical and Computer Engineering (IJECE) 11, Nr. 3 (01.06.2021): 2079. http://dx.doi.org/10.11591/ijece.v11i3.pp2079-2089.
Der volle Inhalt der QuelleCarbone, Carlos, Oscar Garibaldi und Zohre Kurt. „Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture“. KnE Engineering 3, Nr. 1 (11.02.2018): 552. http://dx.doi.org/10.18502/keg.v3i1.1459.
Der volle Inhalt der QuelleHovell, Kirk, Steve Ulrich und Murat Bronz. „Learned Multiagent Real-Time Guidance with Applications to Quadrotor Runway Inspection“. Field Robotics 2, Nr. 1 (10.03.2022): 1105–33. http://dx.doi.org/10.55417/fr.2022036.
Der volle Inhalt der QuelleKushleyev, Alex, Daniel Mellinger, Caitlin Powers und Vijay Kumar. „Towards a swarm of agile micro quadrotors“. Autonomous Robots 35, Nr. 4 (10.07.2013): 287–300. http://dx.doi.org/10.1007/s10514-013-9349-9.
Der volle Inhalt der QuelleDissertationen zum Thema "Quadrotors swarm"
Yi-LunHuang und 黃怡綸. „Dynamic Analysis and Control of Quadrotor Swarm under Behavior-Based Formation Flight“. Thesis, 2016. http://ndltd.ncl.edu.tw/handle/ecmubv.
Der volle Inhalt der Quelle國立成功大學
航空太空工程學系
104
This paper provides a method of ‘behavior-based’ to do the path planning for ‘quadrotors’. As walking to the destination, if there are obstacles on the road, it is required to avoid them and keep the safety distance from other people. Simultaneously, move towards the destination. In other words, the overall behavior of walking is composed of different motor schemas, which serve as the basic unit of behavior specification for the navigation of a mobile robot. (e.g. move to goal, obstacle avoidance, collision avoidance and etc. ) With their own weighting gain the motor schemas can produce a potential field which can generate the force to give the vehicle to decide where to go and how to go. In order to form the different formation, this paper use one of the formation position determination method- ‘leader-referenced’ to do the ‘formation control’ on the quadrotors.
Buchteile zum Thema "Quadrotors swarm"
Lazim, Izzuddin M., Abdul Rashid Husain, Nurul Adilla Mohd Subha, Zaharuddin Mohamed und Mohd Ariffanan Mohd Basri. „Optimal Formation Control of Multiple Quadrotors Based on Particle Swarm Optimization“. In Communications in Computer and Information Science, 121–35. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6463-0_11.
Der volle Inhalt der QuelleWang, Mingming, Jinjin Guo, Juntong Qi, Chong Wu und Qun Chen. „Collision-Free Formation Control for Multiple Quadrotors Subject to Switching Topologies“. In Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control, 661–70. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3998-3_63.
Der volle Inhalt der QuelleShrit, Omar, und Michèle Sebag. „I2SL: Learn How to Swarm Autonomous Quadrotors Using Iterative Imitation Supervised Learning“. In Progress in Artificial Intelligence, 418–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86230-5_33.
Der volle Inhalt der QuelleAguilera-Ruiz, Mario, Luis Torres-Treviño und Angel Rodríguez-Liñán. „Collective Motion of a Swarm of Simulated Quadrotors Using Repulsion, Attraction and Orientation Rules“. In Advances in Computational Intelligence, 512–21. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62434-1_41.
Der volle Inhalt der QuelleWang, Jianan, Jingze Zhang, Chunyu Li, Weihao Song, Li Liang und Chunyan Wang. „Differential Backstepping Control for Quadrotor Aircraft“. In Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control, 305–14. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3998-3_30.
Der volle Inhalt der QuelleSanchez-Lopez, Jose Luis, Jesús Pestana, Paloma de la Puente, Adrian Carrio und Pascual Campoy. „Visual Quadrotor Swarm for the IMAV 2013 Indoor Competition“. In ROBOT2013: First Iberian Robotics Conference, 55–63. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03653-3_5.
Der volle Inhalt der QuelleZheng, Zhiqiang, Haibin Duan und Chen Wei. „Binary Pigeon-Inspired Optimization for Quadrotor Swarm Formation Control“. In Lecture Notes in Computer Science, 71–82. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53956-6_7.
Der volle Inhalt der QuelleMeng, Jianghao, Xiaoping Zhu, Jun Yang und Yue Li. „Neural Network Based Adaptive Consensus of Multi-quadrotor System“. In Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control, 1684–94. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3998-3_157.
Der volle Inhalt der QuelleWang, Yi, Hui Ye und Xiaofei Yang. „A Novel Cooperative Target-Enclosing Control for Multiple Quadrotor UAVs via Passivity-Based Approach“. In Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control, 1365–76. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3998-3_128.
Der volle Inhalt der QuelleBaldini, Alessandro, Lucio Ciabattoni, Riccardo Felicetti, Francesco Ferracuti, Alessandro Freddi, Andrea Monteriù und Sundarapandian Vaidyanathan. „Particle Swarm Optimization Based Sliding Mode Control Design: Application to a Quadrotor Vehicle“. In Studies in Computational Intelligence, 143–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55598-0_7.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Quadrotors swarm"
Kushleyev, Aleksandr, Vijay Kumar und Daniel Mellinger. „Towards A Swarm of Agile Micro Quadrotors“. In Robotics: Science and Systems 2012. Robotics: Science and Systems Foundation, 2012. http://dx.doi.org/10.15607/rss.2012.viii.028.
Der volle Inhalt der QuelleDu, Xintong, Carlos E. Luis, Marijan Vukosavljev und Angela P. Schoellig. „Fast and In Sync: Periodic Swarm Patterns for Quadrotors“. In 2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019. http://dx.doi.org/10.1109/icra.2019.8794017.
Der volle Inhalt der QuelleShijith, N., und Meher Madhu Dharmana. „Sonar based terrain estimation & automatic landing of swarm quadrotors“. In 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT). IEEE, 2017. http://dx.doi.org/10.1109/iccpct.2017.8074216.
Der volle Inhalt der QuelleLeonard, Jeremie, Samer Aldhaher, Al Savvaris und Antonios Tsourdos. „Automated Recharging Station for Swarm of Unmanned Aerial Vehicles“. In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88246.
Der volle Inhalt der QuelleMechali, Omar, Jamshed Iqbal, Jingxiang Wang, Xiaomei Xie und Limei Xu. „Distributed Leader-Follower Formation Control of Quadrotors Swarm Subjected to Disturbances“. In 2021 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2021. http://dx.doi.org/10.1109/icma52036.2021.9512623.
Der volle Inhalt der QuelleTsykunov, Evgeny, Ruslan Agishev, Roman Ibrahimov, Luiza Labazanova, Taha Moriyama, Hiroyuki Kajimoto und Dzmitry Tsetserukou. „SwarmCloak: Landing of a Swarm of Nano-Quadrotors on Human Arms“. In SA '19: SIGGRAPH Asia 2019. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3355049.3360542.
Der volle Inhalt der QuelleBandala, Argel A., Ryan Rhay P. Vicerra und Elmer P. Dadios. „Formation stabilization algorithm for swarm tracking in unmanned aerial vehicle (UAV) quadrotors“. In TENCON 2014 - 2014 IEEE Region 10 Conference. IEEE, 2014. http://dx.doi.org/10.1109/tencon.2014.7022455.
Der volle Inhalt der QuelleTsykunov, E., L. Labazanova, A. Tleugazy und D. Tsetserukou. „SwarmTouch: Tactile Interaction of Human with Impedance Controlled Swarm of Nano-Quadrotors“. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2018. http://dx.doi.org/10.1109/iros.2018.8594424.
Der volle Inhalt der QuelleLu, Qi, Beibei Ren und Yuan-dong Ji. „Uncertainty and Disturbance Estimator-Based Robust Region Tracking Control for Multiple Quadrotors“. In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3308.
Der volle Inhalt der QuelleFurci, M., G. Casadei, R. Naldi, R. G. Sanfelice und L. Marconi. „An open-source architecture for control and coordination of a swarm of micro-quadrotors“. In 2015 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2015. http://dx.doi.org/10.1109/icuas.2015.7152285.
Der volle Inhalt der Quelle