Academic literature on the topic 'Dynamic control and generation of tasks'
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Journal articles on the topic "Dynamic control and generation of tasks"
Jung, Ga Young, and Incheol Kim. "Dynamic 3D Scene Graph Generation for Robotic Manipulation Tasks." Journal of Institute of Control, Robotics and Systems 27, no. 12 (December 31, 2021): 953–63. http://dx.doi.org/10.5302/j.icros.2021.21.0140.
Full textValera, A., V. Mata, M. Vallés, F. Valero, N. Rosillo, and F. Benimeli. "Solving the inverse dynamic control for low cost real-time industrial robot control applications." Robotica 21, no. 3 (May 13, 2003): 261–69. http://dx.doi.org/10.1017/s0263574702004769.
Full textSavic, Srdjan, Mirko Rakovic, Branislav Borovac, and Milutin Nikolic. "Hybrid motion control of humanoid robot for leader-follower cooperative tasks." Thermal Science 20, suppl. 2 (2016): 549–61. http://dx.doi.org/10.2298/tsci151005037s.
Full textGardiner, B., S. A. Coleman, T. M. McGinnity, and H. He. "Robot control code generation by task demonstration in a dynamic environment." Robotics and Autonomous Systems 60, no. 12 (December 2012): 1508–19. http://dx.doi.org/10.1016/j.robot.2012.07.023.
Full textBiletskyi, Yurii Olegovych, Ihor Zenonovich Shchur, and Rostyslav-Ivan Kuzyk. "PASSIVITY-BASED CONTROL SYSTEM FOR STAND-ALONE HYBRID ELECTROGENERATING COMPLEX." Applied Aspects of Information Technology 4, no. 2 (June 30, 2021): 140–52. http://dx.doi.org/10.15276/aait.02.2021.2.
Full textSteer, A. J. "Supersonic transport aircraft longitudinal flight control law design." Aeronautical Journal 108, no. 1084 (June 2004): 319–29. http://dx.doi.org/10.1017/s000192400000018x.
Full textMohamed, Zulkifli, Mitsuki Kitani, and Genci Capi. "Adaptive arm motion generation of humanoid robot operating in dynamic environments." Industrial Robot: An International Journal 41, no. 2 (March 11, 2014): 124–34. http://dx.doi.org/10.1108/ir-10-2013-409.
Full textRoper, Daniel, Sanjay Sharma, Robert Sutton, and Philip Culverhouse. "Energy-Shaping Gait Generation for a Class of Underactuated Robotic Fish." Marine Technology Society Journal 46, no. 3 (May 1, 2012): 34–43. http://dx.doi.org/10.4031/mtsj.46.3.6.
Full textMendez Monroy, Paul Erick. "Walking Motion Generation and Neuro-Fuzzy Control with Push Recovery for Humanoid Robot." International Journal of Computers Communications & Control 12, no. 3 (April 23, 2017): 330. http://dx.doi.org/10.15837/ijccc.2017.3.2842.
Full textMathiyakom, W., J. L. McNitt-Gray, and R. Wilcox. "Lower extremity control and dynamics during backward angular impulse generation in backward translating tasks." Experimental Brain Research 169, no. 3 (November 5, 2005): 377–88. http://dx.doi.org/10.1007/s00221-005-0150-7.
Full textDissertations / Theses on the topic "Dynamic control and generation of tasks"
Hodson-Tole, Emma Frances. "Motor Control for Dynamic tasks." Thesis, Royal Veterinary College (University of London), 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498065.
Full textMENGARELLI, ALESSANDRO. "Balance and Motor Control in Dynamic Tasks." Doctoral thesis, Università Politecnica delle Marche, 2017. http://hdl.handle.net/11566/245482.
Full textIn the first part of this work a characterization of the upright stance recovery after balance perturbation administered through external stimuli was performed. Balance response has been analyzed in dynamics, kinematics and electromyographic terms, in order to obtain a complete description of which mechanisms are employed to withstand sudden stance perturbations. A series of parameters have been extracted from center of pressure and center of mass displacement and from electromyographic signals, acquired from lower limb and trunk muscles, in order to obtain a series of indexes which can correlate with the different characteristic of perturbations. From kinematic data, a description of the postural strategies adopted to withstand perturbations has been performed, in order to observe whether different perturbation conditions evoke different responses, employing different articular joints. Eventually, a first attempt to model perturbed upright stance through a double-link inverted pendulum is proposed, applying control systems seldom employed in describing this kind of dynamic motor task. In the second part, the motor control during the walking task was described in terms of muscular activity. Myoelectric signals were acquired in hundreds of consecutive strides, obtaining a new type of description, not only in terms of temporal parameters of muscles activity but also in terms of the occurrence frequency of each muscular activation modality during gait. The main outcomes include the description of co-contraction activity between ankle flexor muscles and the assessment of the recurrence of each co-activation pattern during walking. Furthermore, a description of the whole lower limb muscles behavior was performed, aimed to the quantification of gender-based differences in muscular recruitment during gait. Then, these two aspects were joined in assessing gender-related differences in co-contraction activity of muscles which control the ankle joint mechanics during walking.
Pogulis, Jakob. "Generation of dynamic control-dependence graphs for binary programs." Thesis, Linköpings universitet, Databas och informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-110247.
Full textGargas, Eugene Frank III. "Generation and use of a discrete robotic controls alphabet for high-level tasks." Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43651.
Full textRoca, Filella Nicolas. "Contributions à la robotisation de tâches entrant dans la fabrication de pneumatiques." Electronic Thesis or Diss., Université Clermont Auvergne (2021-...), 2023. http://www.theses.fr/2023UCFA0011.
Full textRobotics research is increasingly interested in the manipulation of soft objects: fabrics, foams or any other deformable object like rubber. The deformation of such an object is usually modeled by introducing new degrees of freedom, which makes its control more complex. In the context of the industry of the future, the Manufacture Française des Pneumatiques Michelin wishes to modernize its tire manufacturing process which consists of assembling, layer by layer, strips and plies of rubber. These tasks, which have never been robotized before this thesis, fall within the domain of robotic manipulation of deformable objects (RMDO).Through the CIFRE plan (French Industrial Research Training Convention) of the ANRT (French National Association for Technological Research), this thesis addresses this issue in an industrial application context through the design of a robotic cell by providing innovative technological solutions, especially in terms of actuation, perception, and control. However, we show that the integration of these solutions is limited by classical problems of RMDO, such as the modeling of object deformations, multimodal perception or dynamic control and generation of tasks.A first contribution is the adaptation of image processing algorithms from open-source libraries to an industrial context. These algorithms replace commercial industrial solutions and allow a greater freedom of parameterization for each function. The result is an assembly of flexible algorithmic bricks adapted to the specificities of the tire manufacturing process.This thesis also explores the use of a reduced physical model to control the tension in a suspended gum strip, one end of which is wrapped around a spool while the other is manipulated by a robot. We distinguish three contributions: vision-based estimation of the tension, a closed-loop control law to regulate the rotation speed of the reel and thus vary the length of the suspended part of the strip, and a planning algorithm to achieve the desired tension.A last contribution concerns a visual feedback control allowing to join end to end the two ends of a web wrapped around a cylindrical surface. This complex operation is based on visual perception and 3D reconstruction of the edge of the ply as well as a control law considering a weighted measure of the error.Our developments have enabled the design and production of an industrial demonstrator that is ready for deployment in a factory. This means that industrial constraints such as sizing, cycle time, available hardware and software architecture, and quality tolerances have been considered from the beginning of the scientific reflection. Experimental validations were carried out on this test bench
Albagul, Abdulgani. "Dynamic modelling and control of a wheeled mobile robot." Thesis, University of Newcastle Upon Tyne, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327239.
Full textMyhre, Torstein Anderssen. "Path Planning, Dynamic Trajectory Generation and Control Analysis for Industrial Manipulators." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13568.
Full textGuo, Xi. "Remote control service system architecture and dynamic web user interface generation." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/8485.
Full textStanhope, Austin. "A control architecture for dynamic execution of robot tasks trained in real-time using particle filters." abstract and full text PDF (UNR users only), 2009. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1472980.
Full textShiltz, Dylan J. "Integrating automatic generation control and demand response via a dynamic regulation market mechanism." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104267.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 65-68).
In this thesis, a transactive control strategy is proposed to integrate flexible consumers of electricity with automatic generation control in a large AC power system with multiple interconnected areas. The proposed Dynamic Regulation Market Mechanism enables aggregated Demand Response units to bid alongside generators in real time, which in turn allows frequency regulation to be performed optimally while respecting the constraints of the bidders as well as the power system. A linearized model of a 3 area, 900 bus power system is introduced, including the dynamics of both generators and aggregated Demand Response units. The Dynamic Regulation Market is framed as a modified DC Optimal Power Flow problem and an iterative primal-dual algorithm based on Newton-Raphson is proposed to solve the problem. Next, the physical layer is coupled with the market layer. Market negotiations serve as set-point commands to the physical system, while Area Control Error is fed back from the physical system to the market. The stability of this coupling is discussed, and potential cost savings are quantified through simulations. Notable features of this proposal include an explicit mechanism for guaranteeing energy neutral consumption for Demand Response, a quantitative evaluation of the potential savings from Demand Response participation in regulation, and realistic simulations on a large, multiple-area power system. Furthermore, these objectives are achieved under realistic communication requirements and without sacrificing the privacy of bidders' private information.
by Dylan J. Shiltz.
S.M.
Books on the topic "Dynamic control and generation of tasks"
Vepa, Ranjan. Dynamic Modeling, Simulation and Control of Energy Generation. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5400-6.
Full textKolpakov, Vasiliy. Economic and mathematical and econometric modeling: Computer workshop. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/24417.
Full textBashin, Yuriy, Gennadiy Grinev, and Yuliya Dremova. Economics of the information society. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1039916.
Full textBaburina, Ol'ga. World economy and international economic relations. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1039802.
Full textBuyal'skiy, Vladimir. Wind turbines with optimal control of electricity generation. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1946200.
Full textT, Batina John, Williams Marc H, and United States. National Aeronautics and Space Administration., eds. Temporal-adaptive Euler/Navier-Stokes algorithm for unsteady aerodynamic analysis of airfoils using unstructured dynamic meshes. [Washington, DC]: National Aeronautics and Space Administration, 1990.
Find full textT, Batina John, Williams Marc H, and United States. National Aeronautics and Space Administration., eds. Temporal-adaptive Euler/Navier-Stokes algorithm for unsteady aerodynamic analysis of airfoils using unstructured dynamic meshes. [Washington, DC]: National Aeronautics and Space Administration, 1990.
Find full textT, Batina John, Williams Marc H, and United States. National Aeronautics and Space Administration., eds. Temporal-adaptive Euler/Navier-Stokes algorithm for unsteady aerodynamic analysis of airfoils using unstructured dynamic meshes. [Washington, DC]: National Aeronautics and Space Administration, 1990.
Find full textGadzhiev, Nazirhan, Sergey Konovalenko, Ruslan Kornilovich, and Mihail Trofimov. Control and audit. Workshop. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1048687.
Full textBerezhnaya, Ol'ga, Vladimir Berezhnoy, Mariya Seroshtan, and Tat'yana Rogulenko. Statistics in examples and tasks. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1913712.
Full textBook chapters on the topic "Dynamic control and generation of tasks"
Kim, Jung Hyup, Ling Rothrock, Anand Tharanathan, and Hari Thiruvengada. "Investigating the Effects of Metacognition in Dynamic Control Tasks." In Human-Computer Interaction. Design and Development Approaches, 378–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21602-2_41.
Full textGrohmann, Axel, and Roland Kopetzky. "Dynamic process modelling and communication in environment information systems of the third generation." In Tasks and Methods in Applied Artificial Intelligence, 838–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64574-8_470.
Full textChen, Weihai, Zhen Wu, Qixian Zhang, Jian Li, and Luya Li. "A direct iteration method for global dynamic control of redundant manipulators." In Tasks and Methods in Applied Artificial Intelligence, 183–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64574-8_404.
Full textMedina-Meléndez, W., L. Fermín, J. Cappelletto, C. Murrugarra, G. Fernández-López, and J. C. Grieco. "Vision-Based Dynamic Velocity Field Generation for Mobile Robots." In Lecture Notes in Control and Information Sciences, 69–79. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-974-3_6.
Full textGidron, Yoad, Israel Ben-Shaul, and Yariv Aridor. "Dynamic Configuration and Enforcement of Access Control for Mobile Components." In Next Generation Information Technologies and Systems, 267–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48521-x_21.
Full textJerhotova, Eva, Marek Sikora, and Petr Stluka. "Dynamic Alarm Management in Next Generation Process Control Systems." In IFIP Advances in Information and Communication Technology, 224–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40361-3_29.
Full textAha, David W., and Steven L. Salzberg. "Learning to Catch: Applying Nearest Neighbor Algorithms to Dynamic Control Tasks." In Selecting Models from Data, 321–28. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2660-4_33.
Full textVukobratović, Miomir, Dragan Stokić, and Nenad Kirćanski. "Computer-Assisted Generation of Robot Dynamic Models in Analytical Form." In Non-Adaptive and Adaptive Control of Manipulation Robots, 1–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82201-8_1.
Full textZhang, Wenjuan, James Shirley, Yulin Deng, Na Young Kim, and David Kaber. "Effects of Dynamic Automation on Situation Awareness and Workload in UAV Control Decision Tasks." In Advances in Intelligent Systems and Computing, 193–203. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94223-0_18.
Full textAbu-Tair, Mamun I., Geyong Min, Qiang Ni, and Hong Liu. "Performance Evaluation of a Dynamic Medium Access Control Scheme for Mobile Ad-Hoc Networks." In Wireless Systems and Mobility in Next Generation Internet, 89–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89183-3_8.
Full textConference papers on the topic "Dynamic control and generation of tasks"
Buron, Cyprien, Jean-Eudes Marvie, Gaël Guennebaud, and Xavier Granier. "Dynamic on-mesh procedural generation control." In ACM SIGGRAPH 2014 Talks. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2614106.2614129.
Full textNeupert, Joerg, Eckhard Arnold, Lukas Knierim, Oliver Sawodny, and Klaus Schneider. "Flatness Based Control and Model Predictive Trajectory Generation for Boom Cranes." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87033.
Full textZhao, Wei-Ye, Suqin He, Chengtao Wen, and Changliu Liu. "Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3208.
Full textKapania, Nitin R., John Subosits, and J. Christian Gerdes. "A Sequential Two-Step Algorithm for Fast Generation of Vehicle Racing Trajectories." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9757.
Full textIm, Jeong Joon, Alexander Leonessa, and Andrew Kurdila. "A Real-Time Data Compression and Occupancy Grid Map Generation for Ground-Based 3D LIDAR Data Using Wavelets." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4269.
Full textWensing, Patrick M., and David E. Orin. "Generation of dynamic humanoid behaviors through task-space control with conic optimization." In 2013 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2013. http://dx.doi.org/10.1109/icra.2013.6631008.
Full textYuan, Chengzhi, Fen Wu, and Chang Duan. "Cooperative Output Regulation of Multi-Agent Systems With Switched Leader Dynamics via Smooth Switching." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5055.
Full textTekes, Ayse. "Compliant Five Bar Mechanism Control to Achieve a Desired Trajectory." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70077.
Full textNeptune, Richard R., and Craig P. McGowan. "Individual Muscle Contributions to Whole-Body Angular Momentum During Normal Walking." In ASME 2010 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/sbc2010-19351.
Full textXydas, Evagoras G., Loucas S. Louca, and Andreas Mueller. "Analysis and Passive Control of a Four-Bar Linkage for the Rehabilitation of Upper-Limb Motion." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9916.
Full textReports on the topic "Dynamic control and generation of tasks"
Kuruganti, Teja, Mohammed Olama, Jin Dong, Yaosuo Xue, Christopher Winstead, James Nutaro, Seddik Djouadi, Linquan Bai, Godfried Augenbroe, and Justin Hill. Dynamic Building Load Control to Facilitate High Penetration of Solar Photovoltaic Generation: Final Technical Report. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1819555.
Full textMoisseytsev, A., and J. J. Sienicki. Analysis of supercritical CO{sub 2} cycle control strategies and dynamic response for Generation IV Reactors. Office of Scientific and Technical Information (OSTI), April 2011. http://dx.doi.org/10.2172/1011291.
Full textAmela, R., R. Badia, S. Böhm, R. Tosi, C. Soriano, and R. Rossi. D4.2 Profiling report of the partner’s tools, complete with performance suggestions. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.023.
Full textThompson and Lawson. L51792 External Corrosion Control Monitoring Practices - Volumes I and II. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), May 2000. http://dx.doi.org/10.55274/r0010173.
Full textOsypova, Nataliia V., and Volodimir I. Tatochenko. Improving the learning environment for future mathematics teachers with the use application of the dynamic mathematics system GeoGebra AR. [б. в.], July 2021. http://dx.doi.org/10.31812/123456789/4628.
Full textBerney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman, and John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40401.
Full textPerdigão, Rui A. P. Beyond Quantum Security with Emerging Pathways in Information Physics and Complexity. Synergistic Manifolds, June 2022. http://dx.doi.org/10.46337/220602.
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