Literatura científica selecionada sobre o tema "Quadrotors swarm"
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Artigos de revistas sobre o assunto "Quadrotors swarm"
Nakano, Reiichiro Christian S., Ryan Rhay P. Vicerra, Laurence A. Gan Lim, Edwin Sybingco, Elmer P. Dadios e 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, n.º 2 (15 de março de 2017): 189–96. http://dx.doi.org/10.20965/jaciii.2017.p0189.
Texto completo da fonteXie, Yichen, Yuzhu Li e Wei Dong. "Behavior Prediction Based Trust Evaluation for Adaptive Consensus of Quadrotors". Drones 6, n.º 12 (22 de novembro de 2022): 371. http://dx.doi.org/10.3390/drones6120371.
Texto completo da fonteJoelianto, Endra, Daniel Christian e 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, n.º 1 (30 de julho de 2020): 1. http://dx.doi.org/10.14203/j.mev.2020.v11.1-10.
Texto completo da fonteKhodayari, Houri, Farshad Pazooki e 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, n.º 11 (26 de novembro de 2018): 3938–51. http://dx.doi.org/10.1177/0954410018812615.
Texto completo da fonteApriaskar, Esa. "PURWARUPA SISTEM PENDETEKSI JARAK ANTAR QUADROTOR DENGAN SENSOR GPS". INOVTEK POLBENG 8, n.º 2 (31 de dezembro de 2018): 250. http://dx.doi.org/10.35314/ip.v8i2.768.
Texto completo da fonteFaelden, Gerard Ely U., Ryan Rhay P. Vicerra, Laurence A. Gan Lim, Edwin Sybingco, Elmer P. Dadios e 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, n.º 2 (15 de março de 2017): 197–204. http://dx.doi.org/10.20965/jaciii.2017.p0197.
Texto completo da fonteCardona, Gustavo A., Juan Ramirez-Rugeles, Eduardo Mojica-Nava e 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, n.º 3 (1 de junho de 2021): 2079. http://dx.doi.org/10.11591/ijece.v11i3.pp2079-2089.
Texto completo da fonteCarbone, Carlos, Oscar Garibaldi e Zohre Kurt. "Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture". KnE Engineering 3, n.º 1 (11 de fevereiro de 2018): 552. http://dx.doi.org/10.18502/keg.v3i1.1459.
Texto completo da fonteHovell, Kirk, Steve Ulrich e Murat Bronz. "Learned Multiagent Real-Time Guidance with Applications to Quadrotor Runway Inspection". Field Robotics 2, n.º 1 (10 de março de 2022): 1105–33. http://dx.doi.org/10.55417/fr.2022036.
Texto completo da fonteKushleyev, Alex, Daniel Mellinger, Caitlin Powers e Vijay Kumar. "Towards a swarm of agile micro quadrotors". Autonomous Robots 35, n.º 4 (10 de julho de 2013): 287–300. http://dx.doi.org/10.1007/s10514-013-9349-9.
Texto completo da fonteTeses / dissertações sobre o assunto "Quadrotors swarm"
Yi-LunHuang e 黃怡綸. "Dynamic Analysis and Control of Quadrotor Swarm under Behavior-Based Formation Flight". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/ecmubv.
Texto completo da fonte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.
Capítulos de livros sobre o assunto "Quadrotors swarm"
Lazim, Izzuddin M., Abdul Rashid Husain, Nurul Adilla Mohd Subha, Zaharuddin Mohamed e 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.
Texto completo da fonteWang, Mingming, Jinjin Guo, Juntong Qi, Chong Wu e 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.
Texto completo da fonteShrit, Omar, e 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.
Texto completo da fonteAguilera-Ruiz, Mario, Luis Torres-Treviño e 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.
Texto completo da fonteWang, Jianan, Jingze Zhang, Chunyu Li, Weihao Song, Li Liang e 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.
Texto completo da fonteSanchez-Lopez, Jose Luis, Jesús Pestana, Paloma de la Puente, Adrian Carrio e 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.
Texto completo da fonteZheng, Zhiqiang, Haibin Duan e 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.
Texto completo da fonteMeng, Jianghao, Xiaoping Zhu, Jun Yang e 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.
Texto completo da fonteWang, Yi, Hui Ye e 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.
Texto completo da fonteBaldini, Alessandro, Lucio Ciabattoni, Riccardo Felicetti, Francesco Ferracuti, Alessandro Freddi, Andrea Monteriù e 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.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Quadrotors swarm"
Kushleyev, Aleksandr, Vijay Kumar e 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.
Texto completo da fonteDu, Xintong, Carlos E. Luis, Marijan Vukosavljev e 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.
Texto completo da fonteShijith, N., e 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.
Texto completo da fonteLeonard, Jeremie, Samer Aldhaher, Al Savvaris e 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.
Texto completo da fonteMechali, Omar, Jamshed Iqbal, Jingxiang Wang, Xiaomei Xie e 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.
Texto completo da fonteTsykunov, Evgeny, Ruslan Agishev, Roman Ibrahimov, Luiza Labazanova, Taha Moriyama, Hiroyuki Kajimoto e 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.
Texto completo da fonteBandala, Argel A., Ryan Rhay P. Vicerra e 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.
Texto completo da fonteTsykunov, E., L. Labazanova, A. Tleugazy e 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.
Texto completo da fonteLu, Qi, Beibei Ren e 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.
Texto completo da fonteFurci, M., G. Casadei, R. Naldi, R. G. Sanfelice e 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.
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