Academic literature on the topic 'Large Scale Robot Colony'
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Journal articles on the topic "Large Scale Robot Colony"
Shah, Kunal, Annie Schmidt, Grant Ballard, and Mac Schwager. "Large Scale Aerial Multi-Robot Coverage Path Planning." Field Robotics 2, no. 1 (March 10, 2022): 1971–98. http://dx.doi.org/10.55417/fr.2022064.
Full textGuo, Junen, and Wenguang Diao. "An Improved Ant Colony Optimization Algorithm with Crossover Operator." Open Mechanical Engineering Journal 8, no. 1 (March 21, 2014): 96–100. http://dx.doi.org/10.2174/1874155x01408010096.
Full textShan, Tingting, and Zhaoxuan Qiu. "A Hybrid Algorithm of Ant Colony and Benders Decomposition for Large-Scale Mixed Integer Linear Programming." Computational Intelligence and Neuroscience 2022 (August 31, 2022): 1–11. http://dx.doi.org/10.1155/2022/1634995.
Full textFrías, Ernesto, Lucía Díaz-Vilariño, Jesús Balado, and Henrique Lorenzo. "From BIM to Scan Planning and Optimization for Construction Control." Remote Sensing 11, no. 17 (August 21, 2019): 1963. http://dx.doi.org/10.3390/rs11171963.
Full textLe, Thuy-Hong-Loan, Perla Maiolino, Fulvio Mastrogiovanni, and Giorgio Cannata. "Skinning a Robot: Design Methodologies for Large-Scale Robot Skin." IEEE Robotics & Automation Magazine 23, no. 4 (December 2016): 150–59. http://dx.doi.org/10.1109/mra.2016.2548800.
Full textKelly, Alonzo. "Mobile Robot Localization from Large-Scale Appearance Mosaics." International Journal of Robotics Research 19, no. 11 (November 2000): 1104–25. http://dx.doi.org/10.1177/02783640022067896.
Full textTang, Zhidong, and Chao Yun. "Key Technologies in Large-scale Rescue Robot Wrists." MATEC Web of Conferences 104 (2017): 01005. http://dx.doi.org/10.1051/matecconf/201710401005.
Full textStepanenko, Y. "Modal Control of Fast Large-Scale Robot Motions." Journal of Dynamic Systems, Measurement, and Control 109, no. 2 (June 1, 1987): 80–87. http://dx.doi.org/10.1115/1.3143841.
Full textChen, Kun, Jingjing Wen, Jing Wu, and Ze Ji. "Automated Robot-based Large-Scale 3D Surface Imaging." Procedia Computer Science 176 (2020): 2949–58. http://dx.doi.org/10.1016/j.procs.2020.09.208.
Full textLitzlbauer, Julia, Martina Schifferer, David Ng, Arne Fabritius, Thomas Thestrup, and Oliver Griesbeck. "Large Scale Bacterial Colony Screening of Diversified FRET Biosensors." PLOS ONE 10, no. 6 (June 10, 2015): e0119860. http://dx.doi.org/10.1371/journal.pone.0119860.
Full textDissertations / Theses on the topic "Large Scale Robot Colony"
Engwirda, Anthony, and N/A. "Self-Reliance Guidelines for Large Scale Robot Colonies." Griffith University. Griffith School of Engineering, 2007. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20070913.100750.
Full textEngwirda, Anthony. "Self-Reliance Guidelines for Large Scale Robot Colonies." Thesis, Griffith University, 2007. http://hdl.handle.net/10072/368079.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith School of Engineering
Faculty of Engineering and Information Technology
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Feller, Eugen. "Autonomic and Energy-Efficient Management of Large-Scale Virtualized Data Centers." Phd thesis, Université Rennes 1, 2012. http://tel.archives-ouvertes.fr/tel-00785090.
Full textJohansson, Ronnie. "Large-Scale Information Acquisition for Data and Information Fusion." Doctoral thesis, Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3890.
Full textBoudreault, Yves 1959. "Design of a VLSI convolver for a robot vision system." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65342.
Full textRendon, fernandez Sebastian. "Amélioration de la précision des cellules robotisées pour l’assemblage de grands ensembles en aéronautique." Electronic Thesis or Diss., Paris, HESAM, 2020. http://www.theses.fr/2020HESAE018.
Full textThis thesis concerns the development of different methods and strategies to improve the accuracy of robotic assembly in the aerospace industry, in particular the assembly of a Main Landing Gear Door of the Airbus A350 XWB. The research addresses three main issues: the improvement of the industrial robot's absolute accuracy, the precise identification of the position of large-scale objects, and the robotic surface-surface contact between two large-scale parts. Concerning the industrial robot's absolute accuracy, we proved the efficiency of the sensor-based correction methods through the development of a 6DoF real-time control of a KUKA robot's pose. This controller was also implemented in a hybrid position/effort control. A new calibration strategy for a 3D measurement system mounted on a robotic arm has contributed significantly to improving the accurate identification of the position of large objects. Thus, it was determined that the robot needs to adopt a single joint configuration during the calibration procedure while guaranteeing the system's constant measurement accuracy throughout its entire working volume. Finally, a new admittance control strategy is presented to guarantee the contact of multiple surfaces on large-scale parts. This controller can be adapted to any position-controller robot and avoids any overshoot of its force/torque setpoint. A full-scale prototype of the assembly cell has been developed in collaboration with KUKA Systems Aerospace France and DAHER. It integrates all the strategies proposed in this work and demonstrates that it can be applied in the industrial environment
Yang, Shao-Wen, and 楊劭文. "Mobile Robot Localization in Large-scale Dynamic Environments." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/29669359014064867006.
Full text國立臺灣大學
資訊工程學研究所
100
Localization is the most fundamental problem to providing a mobile robot with autonomous capabilities. Whilst simultaneous localization and mapping (SLAM) and moving object tracking (MOT) have attracted immense attention in the last decade, the focus of robotics continues to shift from stationary robots in a factory automation environment to mobile robots operating in human-inhabited environments. State of the art relying on the static world assumption can fail in the real environment that is typically dynamic. Specifically, the real environment is challenging for mobile robots due to the variety of perceptual inconsistency over space and time. Development of situational awareness is particularly important so that mobile robots can adapt quickly to changes in the environment. In this thesis, we explore the problem of mobile robot localization in the real world in theory and practice, and show that localization can benefit from both stationary and dynamic entities. The performance of ego-motion estimation depends on the consistency between sensory information at successive time steps, whereas the performance of localization relies on the consistency between the sensory information and the a priori map. Inconsistencies make a robot unable to robustly determine its location in the environment. We show that mobile robot localization, as well as ego-motion estimation, and moving object detection are mutually beneficial. Most importantly, addressing the inconsistencies serves as the basis for mobile robot localization, and forms a solid bridge between SLAM and MOT. Localization, as well as moving object detection, is not only challenging but also difficult to evaluate quantitatively due to the lack of a realistic ground truth. As the key competencies for mobile robotic systems are localization and semantic context interpretation, an annotated data set, as well as an interactive annotation tool, is released to facilitate the development, evaluation and comparison of algorithms for localization, mapping, moving object detection, moving object tracking, etc. In summary, a unified stochastic framework is introduced to solve the problems of motion estimation and motion segmentation simultaneously in highly dynamic environments in real time. A dual-model localization framework that uses information from both the static scene and dynamic entities is proposed to improve the localization performance by explicitly incorporating, rather than filtering out, moving object information. In the ample experiment, a sub-meter accuracy is achieved, without the aid of GPS, which is adequate for autonomous navigation in crowded urban scenes. The empirical results suggest that the performance of localization can be improved when handling the changing environment explicitly.
Wu, Chun-Ta, and 吳俊達. "Design and implementation of large-scale biped robot: using intelligent controller." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/54354873176974225504.
Full text中原大學
電機工程研究所
99
In this thesis, we design and implement a large-scale biped robot. The robot has ten degrees of freedom. Traditional large-scale biped robot is very expensive, thus we attempt to design a low cost biped robot in order to cut down the threshold in studying large-scale biped robot. The robot's static walking is planned by forward kinematics and COG (center of gravity). The stability of a biped robot depends on its COG if COG of a biped robot falls in the certain region. Furthermore, to make the system walking more smooth and stable, we used Mamdani type fuzzy logic controller to robot tracking control and anti-swing control. Due to ten motors act in the same time, we design multi-chip parallel processing control structure. Finally, the experimental results of propose large-scale biped robot demonstrates the good performance of the whole control system.
Chu, Chien-Liang, and 朱建亮. "Network-based Robot Design and Realization of Large-Scale Direct Monocular SLAM." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/03936106722306096676.
Full text國立臺灣科技大學
機械工程系
103
In this thesis we designed and constructed a two-wheel robot vehicle capable of wireless communication with onboard IP camera and motion sensors, the vehicle joins real-time image, measurements from robot’s sensors and robot control command into a local area network, thus achieving cloud controlling with good generalization and expandability between platforms. As the robot industry turning into a developed market, the complexity of application scenarios and the variety of surrounding factors increases, to enable the robot to perform localization and mapping in various environments, this thesis uses an algorithm to construct 3-D environment model via a single camera, allowing the robot to update its position and build a 3-D point cloud model of the environment while traveling indoor. This thesis carries out LSD-SLAM ( Large-Scale Direct Monocular SLAM ) on our self-built vehicle, this method can simultaneously reconstruct camera gesture and 3-D model of the environment, reducing possible error in feature extraction method through Semi-Dense Visual Odometry and Pose Graph Optimization, after combining our proposed scale factor correction and coordinate transposition method the estimation results can be presented in real world scale for actual applications after fitting procedure, to further increase computing efficiency we use parallel GPU computation architecture to speed up 3-D environment reconstruction, and reduce both computational complexity and scale shifting by map stitching method, since we adopt a consumer IP camera for image acquisition, we sufficiently reduce the cost of the robot and the size of the image module, giving developers more flexibility with vehicle design.
Shih, Jhih-Syuan, and 施志軒. "A Study on 3D Large-Scale Scenes Reconstruction Algorithms Using a SLAM Robot." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/3566k4.
Full text國立臺灣大學
生物產業機電工程學研究所
101
3D 虛擬場景已被廣泛應用於許多場合,如虛擬實境與地理資訊系統等應用。本研究致力於發展一套低成本、能自動重建大尺度場景之自主式移動機器人。為達到此目的機器人必須搭載自行開發之環境資訊收集裝置 (environment information collector, EIC) 來收集環境三維空間資訊與影像資訊。並且採用以擴展式卡曼濾波器為基礎的同步定位與地圖建構技術 (simultaneous localization and mapping, SLAM) 來估測機器人自身位置並連結各場景間之關係。將所收集到的深度與影像資訊分別存放於深度影像與環場影像中,在透過兩張影像間之輪廓對應降低傳統雷射與影像間對應的繁雜手續,加快色彩點雲場景的重建。多場景間的接合是利用疊代最接近點演算法 (iterative closest points, ICP) 來完成,但為了避免地形起伏所造成的影響,故考慮機器人六個方向自由度的姿態來進行場景接合。在完成場景接合後仍需透過三角網格處理建立模型表面,並運用材質貼圖來產生高品質的場景模型。本系統提出改良後的 ICP 演算法來提升場景接合之成功率與降低運算時間,平均單步執行時間為7.9秒。場景與場景之平均距離為10.6 公尺,且接合誤差小於8%。若在接合時偵測到封閉迴路,將利用 ELCH (explicit loop closing heuristic) 演算法來加以修正。
Books on the topic "Large Scale Robot Colony"
Elibol, Armagan. Efficient Topology Estimation for Large Scale Optical Mapping. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Find full textEfficient Topology Estimation For Large Scale Optical Mapping. Springer, 2012.
Find full textGarcia, Rafael, Armagan Elibol, and Nuno Gracias. Efficient Topology Estimation for Large Scale Optical Mapping. Springer, 2014.
Find full textP, Giesy Daniel, Langley Research Center, and United States. National Aeronautics and Space Administration., eds. Algorithms for efficient computation of transfer functions for large order flexible systems. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.
Find full textBook chapters on the topic "Large Scale Robot Colony"
Fidanova, Stefka, Krassimir Atanassov, and Pencho Marinov. "Intuitionistic Fuzzy Estimation of the Ant Colony Optimization Starting Points." In Large-Scale Scientific Computing, 222–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29843-1_25.
Full textFidanova, Stefka. "Probabilistic Model of Ant Colony Optimization for Multiple Knapsack Problem." In Large-Scale Scientific Computing, 545–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78827-0_62.
Full textFidanova, Stefka, and Olympia Roeva. "Influence of Ant Colony Optimization Parameters on the Algorithm Performance." In Large-Scale Scientific Computing, 358–65. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73441-5_38.
Full textFidanova, Stefka, and Krassimir Atanassov. "Generalized Nets as Tools for Modeling of the Ant Colony Optimization Algorithms." In Large-Scale Scientific Computing, 326–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12535-5_38.
Full textMoisil, Ioana, Iulian Pah, Dana Simian, and Corina Simian. "Ant Colony Models for a Virtual Educational Environment Based on a Multi-Agent System." In Large-Scale Scientific Computing, 577–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78827-0_66.
Full textMoisil, Ioana, and Alexandru-Liviu Olteanu. "Some Aspects Regarding the Application of the Ant Colony Meta-heuristic to Scheduling Problems." In Large-Scale Scientific Computing, 343–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12535-5_40.
Full textFidanova, Stefka, Pencho Marinov, and Marcin Paprzycki. "Influence of the Number of Ants on Multi-objective Ant Colony Optimization Algorithm for Wireless Sensor Network Layout." In Large-Scale Scientific Computing, 232–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43880-0_25.
Full textShuva, Shahnewaz, Patrick Buchfink, Oliver Röhrle, and Bernard Haasdonk. "Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue." In Large-Scale Scientific Computing, 402–9. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97549-4_46.
Full textKalempa, Vivian Cremer, Marco Antonio Simões Teixeira, André Schneider de Oliveira, and João Alberto Fabro. "Agile Experimentation of Robot Swarms in Large Scale." In Studies in Computational Intelligence, 77–123. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45956-7_4.
Full textShell, Dylan A., and Maja J. Matarić. "Ergodic Dynamics for Large-Scale Distributed Robot Systems." In Lecture Notes in Computer Science, 254–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11839132_21.
Full textConference papers on the topic "Large Scale Robot Colony"
Singhania, Rajshekhar, Chinmay Sawkar, and Manoj K. Tiwari. "Optimal Sensor Deployment to Diagnose Large-Scale Manufacturing Systems Using a Convergence-Trajectory Controlled Ant Colony System Algorithm." In ASME 2021 16th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/msec2021-62056.
Full textYu Zhang, Shuhua Liu, Jie Liu, and Chenmu Yu. "Notice of Violation of IEEE Publication Principles - Large-scale multi-robot task allocation based on Ant Colony Algorithm." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597703.
Full textLiu, Xiao-Fang, Bo-Cheng Lin, Zhi-Hui Zhan, Sang-Woon Jeon, and Jun Zhang. "An Efficient Ant Colony System for Multi-Robot Task Allocation with Large-scale Cooperative Tasks and Precedence Constraints." In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2021. http://dx.doi.org/10.1109/ssci50451.2021.9659912.
Full textMenezes, Amor A., and Pierre T. Kabamba. "Resilient Self-Reproducing Systems." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2284.
Full textLi, Xiaojiang, Jiapin Liao, and Min Cai. "Ant colony algorithm for large scale TSP." In 2011 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2011. http://dx.doi.org/10.1109/iceceng.2011.6057105.
Full textLu, Xiang-lin, and Yun-xian Hou. "Ant Colony Optimization for Facility Location for Large-Scale Emergencies." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5302451.
Full textFister, Iztok, Iztok Jr Fister, and Janez BresViljem Zumer. "Memetic artificial bee colony algorithm for large-scale global optimization." In 2012 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2012. http://dx.doi.org/10.1109/cec.2012.6252938.
Full textManger, Daniel. "Large-Scale Tattoo Image Retrieval." In 2012 Canadian Conference on Computer and Robot Vision (CRV). IEEE, 2012. http://dx.doi.org/10.1109/crv.2012.67.
Full textLiang, Yu, Yu Liu, and Liang Zhang. "An improved artificial bee colony (ABC) algorithm for large scale optimization." In 2013 2nd International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA). IEEE, 2013. http://dx.doi.org/10.1109/imsna.2013.6743359.
Full textHe, Dongxiao, Jie Liu, Dayou Liu, Di Jin, and Zhengxue Jia. "Ant colony optimization for community detection in large-scale complex networks." In 2011 Seventh International Conference on Natural Computation (ICNC). IEEE, 2011. http://dx.doi.org/10.1109/icnc.2011.6022234.
Full textReports on the topic "Large Scale Robot Colony"
Jones, Chris, and Maja J. Mataric. Adaptive Division of Labor in Large-Scale Minimalist Multi-Robot Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada459488.
Full textIbdah, Mwafaq, Dorothea Tholl, and Philipp W. Simon. How temperature stress changes carrot flavor: Elucidating the genetic determinants of undesired taste in carrots. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598171.bard.
Full textRinkevich, Baruch, and Cynthia Hunter. Inland mariculture of reef corals amenable for the ornamental trade. United States Department of Agriculture, January 2006. http://dx.doi.org/10.32747/2006.7695880.bard.
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