Literatura académica sobre el tema "Path-velocity decomposition"

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Artículos de revistas sobre el tema "Path-velocity decomposition"

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Kant, Kamal, and Steven W. Zucker. "Toward Efficient Trajectory Planning: The Path-Velocity Decomposition." International Journal of Robotics Research 5, no. 3 (1986): 72–89. http://dx.doi.org/10.1177/027836498600500304.

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Pham, Quang-Cuong, Stéphane Caron, Puttichai Lertkultanon, and Yoshihiko Nakamura. "Admissible velocity propagation: Beyond quasi-static path planning for high-dimensional robots." International Journal of Robotics Research 36, no. 1 (2016): 44–67. http://dx.doi.org/10.1177/0278364916675419.

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Path-velocity decomposition is an intuitive yet powerful approach to addressing the complexity of kinodynamic motion planning. The difficult trajectory planning problem is solved in two separate, simpler steps: first, a path is found in the configuration space that satisfies the geometric constraints (path planning), and second, a time-parameterization of that path satisfying the kinodynamic constraints is found. A fundamental requirement is that the path found in the first step must be time-parameterizable. Most existing works fulfill this requirement by enforcing quasi-static constraints dur
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Jain, Vasundhara, Uli Kolbe, Gabi Breuel, and Christoph Stiller. "Collision Avoidance for Multiple Static Obstacles using Path-Velocity Decomposition." IFAC-PapersOnLine 52, no. 8 (2019): 265–70. http://dx.doi.org/10.1016/j.ifacol.2019.08.081.

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Wang, Dier, and Jun Zhang. "Two improved scanning path planning algorithms and a 3D printing control system with circular motion controller." Rapid Prototyping Journal 28, no. 4 (2021): 695–703. http://dx.doi.org/10.1108/rpj-08-2020-0190.

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Purpose This paper aims to improve the infilling efficiency and the quality of parts forming. It proposes two improved scanning path planning algorithm based on velocity orthogonal decomposition. Design/methodology/approach The algorithms this paper proposes replace empty paths and corners with circular segments, driving each axis synchronously according to the SIN or COS velocity curve to make the extruder always moves at a constant speed at maximum during the infilling process. Also, to support the improved algorithms, a three-dimensional (3D) printing control system based on circular motion
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Thyri, Emil H., Morten Breivik, and Anastasios M. Lekkas. "A Path-Velocity Decomposition Approach to Collision Avoidance for Autonomous Passenger Ferries in Confined Waters." IFAC-PapersOnLine 53, no. 2 (2020): 14628–35. http://dx.doi.org/10.1016/j.ifacol.2020.12.1472.

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Chen, Yixiao, Xinzhi Zhou, Jialiang Zhu, Chenlong Dong, Tao Xu, and Hailin Wang. "Measured Regional Division Optimization for Acoustic Tomography Velocity Field Reconstruction in a Circular Area." Sensors 24, no. 6 (2024): 2008. http://dx.doi.org/10.3390/s24062008.

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The acoustic tomography (AT) velocity field reconstruction technique has become a research hotspot in recent years due to its noninvasive nature, high accuracy, and real-time measurement advantages. However, most of the existing studies are limited to the reconstruction of the velocity field in a rectangular area, and there are very few studies on a circular area, mainly because the layout of acoustic transducers, selection of acoustic paths, and division of measured regions are more difficult in a circular area than in a rectangular area. Therefore, based on AT and using the reconstruction al
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Liu, Ke, Guanzheng Wen, Yao Fu, and Honglin Wang. "A Hierarchical Lane-Changing Trajectory Planning Method Based on the Least Action Principle." Actuators 13, no. 1 (2023): 10. http://dx.doi.org/10.3390/act13010010.

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This paper presents a hierarchical lane-changing trajectory planner based on the least action principle for autonomous driving. Our approach aims to achieve reliable real-time avoidance of static and moving obstacles in multi-vehicle interaction scenarios on structured urban roads. Unlike previous studies that rely on subjective weight allocation and single weighting methods, we propose a novel trajectory planning strategy that decomposes the process into two stages: candidate trajectory generation and optimal trajectory decision-making. The candidate trajectory generation employs a path-veloc
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Wu, Jianwei, Deer Bin, Xiaobing Feng, Zhongpu Wen, and Yin Zhang. "GA Based Adaptive Singularity-Robust Path Planning of Space Robot for On-Orbit Detection." Complexity 2018 (May 28, 2018): 1–11. http://dx.doi.org/10.1155/2018/3702916.

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As a new on-orbit detection platform, the space robot could ensure stable and reliable operation of spacecraft in complex space environments. The tracking accuracy of the space manipulator end-effector is crucial to the detection precision. In this paper, the Cartesian path planning method of velocity level inverse kinematics based on generalized Jacobian matrix (GJM) is proposed. The GJM will come across singularity issue in path planning, which leads to the infinite or incalculable joint velocity. To solve this issue, firstly, the singular value decomposition (SVD) is used for exposition of
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Cercignani, Carlo, Irene M. Gamba, Joseph W. Jerome, and Chi-Wang Shu. "Applicability of the High Field Model: An Analytical Study Via Asymptotic Parameters Defining Domain Decomposition." VLSI Design 8, no. 1-4 (1998): 135–41. http://dx.doi.org/10.1155/1998/54618.

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In this paper, we present a mesoscopic-macroscopic model of self-consistent charge transport. It is based upon an asymptotic expansion of solutions of the Boltzmann Transport Equation (BTE). We identify three dimensionless parameters from the BTE. These parameters are, respectively, the quotient of reference scales for drift and thermal velocities, the scaled mean free path, and the scaled Debye length. Such parameters induce domain dependent macroscopic approximations. Particular focus is placed upon the so-called high field model, defined by the regime where drift velocity dominates thermal
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Ralla, Rajeev, Karunamoorthy Rengasamy Kannathasan, and Ilgar Jafarli. "PROPER ORTHOGONAL DECOMPOSITION TECHNIQUE FOR DIMENSIONAL REDUCTION FOR NUMERICAL SNAPSHOT MATRIX." ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International Scientific and Practical Conference 4 (June 8, 2025): 337–43. https://doi.org/10.17770/etr2025vol4.8447.

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Computational fluid dynamics (CFD) simulations generate huge datasets with many variables such as Velocity and Pressure at nodes, elements, and time steps. It is challenging and expensive to analysis large datasets and storage, developing applications over the large datasets required additional computational resources and storage volume. To addresses this problem, we have employed data reduction technique for the reduction of the complexity and utilize its computational resources. Reduced Order Modelling emerged technique leading dimensional reduction yet preserving dominant features, patterns
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Tesis sobre el tema "Path-velocity decomposition"

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Poncelet, Renaud. "Navigation autonome en milieu urbain en présence d’obstacles mobiles : une approche géométrique." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS340.

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L’objectif de cette thèse est de planifier le mouvement d’un véhicule autonome pour qu’il puisse circuler sans collision dans un environnement urbain en présence d’autres obstacles mobiles. Ceci implique la prise en compte de contraintes propres au véhicule (dynamiques, énergétiques, liées aux systèmes de perception ou de prévision), relatives à la sécurité, au confort des usagers et à l’environnement proche du véhicule. Celles-ci dépendent de la topologie de la route, des règles de conduite et des autres acteurs en mouvement dans le voisinage de l’ego véhicule. Dans le cadre de cette thèse, n
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Capítulos de libros sobre el tema "Path-velocity decomposition"

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Hu, Ruiao, and Stuart Patching. "Variational Stochastic Parameterisations and Their Applications to Primitive Equation Models." In Mathematics of Planet Earth. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18988-3_9.

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AbstractWe present a numerical investigation into the stochastic parameterisations of the Primitive Equations (PE) using the Stochastic Advection by Lie Transport (SALT) and Stochastic Forcing by Lie Transport (SFLT) frameworks. These frameworks were chosen due to their structure-preserving introduction of stochasticity, which decomposes the transport velocity and fluid momentum into their drift and stochastic parts, respectively. In this paper, we develop a new calibration methodology to implement the momentum decomposition of SFLT and compare with the Lagrangian path methodology implemented
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Actas de conferencias sobre el tema "Path-velocity decomposition"

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Ruiz, C. P., C. C. Lin, R. N. Robinson, R. S. Pathania, W. G. Burns, and J. Henshaw. "Modeling Hydrogen Water Chemistry for BWR Applications - II." In CORROSION 1993. NACE International, 1993. https://doi.org/10.5006/c1993-93620.

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ABSTRACT The GE/Harwell BWR water radiolysis model has been substantially refined by including detailed doserate and velocity profiles, new chemical rate-constants and high temperature G-values, flow path region specific hydrogen peroxide decomposition rates and spatial detail in all the excore regions in the primary coolant circuit. An additional region, the outer bypass, and multiple jet pumps have been included in the circuit. The results of calculations for two reactors are presented. Recirculation and steam oxygen and hydrogen levels give reasonable agreement with the data. ECP values in
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Pátý, Marek, and Sergio Lavagnoli. "A Novel Vortex Identification Technique Applied to the 3D Flow Field of a High-Pressure Turbine." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-90462.

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Abstract The efficiency of modern axial turbomachinery is strongly driven by the secondary flows within the vane or blade passages. The secondary flows are characterized by a complex pattern of vortical structures that origin, interact and dissipate along the turbine gas path. The endwall flows are responsible for the generation of a significant part of the overall turbine loss because of the dissipation of secondary kinetic energy and mixing-out of non-uniform momentum flows. The understanding and analysis of secondary flows requires a reliable vortex identification technique to predict and a
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Yu, Ziquan, Youmin Zhang, Yaohong Qu, and Zhewen Xing. "Adaptive Fractional-Order Fault-Tolerant Tracking Control for UAV Based on High-Gain Observer." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67479.

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This paper is concerned with the fractional-order fault-tolerant tracking control design for unmanned aerial vehicle (UAV) in the presence of external disturbance and actuator fault. Based on the functional decomposition, the dynamics of UAV is divided into velocity subsystem and altitude subsystem. Altitude, flight path angle, pitch angle and pitch rate are involved in the altitude subsystem. By using an adaptive mechanism, the fractional derivative of uncertainty including external disturbance and actuator fault is estimated. Moreover, in order to eliminate the problem of explosion of comple
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Carreres, M., L. M. García-Cuevas, J. García-Tíscar, and M. Belmar-Gil. "Spectral Analysis of an Aeronautical Lean Direct Injection Burner Through Large Eddy Simulation." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-14998.

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Abstract During the last decades, many efforts have been invested by the scientific community in minimising exhaust emissions from aeronautical gas turbine engines. In this context, many advanced ultra-low NOx combustion concepts, such as the Lean Direct Injection treated in the present study, are being developed to abide by future regulations. Numerical simulations of these devices are usually computationally expensive since they imply a multi-scale problem. In this work, a non-reactive Large Eddy Simulation of a gaseous-fuelled, radial-swirled Lean-Direct Injection (LDI) combustor has been c
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