Добірка наукової літератури з теми "Polytope de force"
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Статті в журналах з теми "Polytope de force"
Wei, Baochen, and Feng Gao. "Output force capacity polytope approach for actuator forces selection of three degrees of freedom excavating manipulator." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 11 (December 2, 2013): 2007–17. http://dx.doi.org/10.1177/0954406213512629.
Повний текст джерелаRezzoug, Nasser, Vincent Hernandez, and Philippe Gorce. "Upper-Limb Isometric Force Feasible Set: Evaluation of Joint Torque-Based Models." Biomechanics 1, no. 1 (April 18, 2021): 102–17. http://dx.doi.org/10.3390/biomechanics1010008.
Повний текст джерелаChiacchio, Pasquale, Yann Bouffard-Vercelli, and Fran�ois Pierrot. "Force polytope and force ellipsoid for redundant manipulators." Journal of Robotic Systems 14, no. 8 (August 1997): 613–20. http://dx.doi.org/10.1002/(sici)1097-4563(199708)14:8<613::aid-rob3>3.0.co;2-p.
Повний текст джерелаPeña Fernández, César A. "Control of Flexible Manipulator Robots Based on Dynamic Confined Space of Velocities: Dynamic Programming Approach." Journal of Robotics and Control (JRC) 3, no. 6 (December 4, 2022): 743–53. http://dx.doi.org/10.18196/jrc.v3i6.16454.
Повний текст джерелаFerrolho, Henrique, Wolfgang Merkt, Carlo Tiseo, and Sethu Vijayakumar. "Residual force polytope: Admissible task-space forces of dynamic trajectories." Robotics and Autonomous Systems 142 (August 2021): 103814. http://dx.doi.org/10.1016/j.robot.2021.103814.
Повний текст джерелаFirmani, Flavio, Alp Zibil, Scott B. Nokleby, and Ron P. Podhorodeski. "Wrench capabilities of planar parallel manipulators. Part II: Redundancy and wrench workspace analysis." Robotica 26, no. 6 (November 2008): 803–15. http://dx.doi.org/10.1017/s0263574708004396.
Повний текст джерелаAndrews, Lawrence C., and Herbert J. Bernstein. "The geometry of Niggli reduction:BGAOL–embedding Niggli reduction and analysis of boundaries." Journal of Applied Crystallography 47, no. 1 (January 30, 2014): 346–59. http://dx.doi.org/10.1107/s1600576713031002.
Повний текст джерелаBoudreau, Roger, Scott Nokleby, and Marise Gallant. "Wrench Capabilities of a Kinematically Redundant Planar Parallel Manipulator." Robotica 39, no. 9 (January 26, 2021): 1601–16. http://dx.doi.org/10.1017/s0263574720001381.
Повний текст джерелаOkabe, Kousuke. "Translating Manipulating Force Polytope by Dynamics on Kinematical Redundant Manipulators." Journal of the Robotics Society of Japan 41, no. 3 (2023): 303–8. http://dx.doi.org/10.7210/jrsj.41.303.
Повний текст джерелаZheng, Yu. "Real-time contact force distribution using a polytope hierarchy in the grasp wrench set." Robotics and Autonomous Systems 99 (January 2018): 97–109. http://dx.doi.org/10.1016/j.robot.2017.10.014.
Повний текст джерелаДисертації з теми "Polytope de force"
Laisné, Gautier. "Capacités de force du membre supérieur : fondements théoriques et reconstruction de modèles musculosquelettiques." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0483.
Повний текст джерелаIn physical Human-Robot Interaction, where robots and humans collaborate on shared tasks through physical contact, such as between the robot's end effector and the human's hand, human safety is a primary concern. This necessitates that the collaborative system inherently consider human characteristics to provide appropriate and safe robotic assistance. To achieve this, it is necessary to evaluate the capabilities of the human upper-limb. In biomechanics, these capabilities are defined through force feasible sets at the hand, which represent all the forces a human operator can exert in a given posture. These three-dimensional sets are influenced by individual factors such as anthropometry and muscle strength and the surface of these sets represents the maximum force capabilities of the human upper-limb in all directions. Therefore, force feasible sets are an invaluable tool for guiding robotic assistance, ensuring it respects biomechanical constraints by remaining within the human's exertable force limits.Force feasible sets are challenging to measure directly but can be partially represented in isometric conditions by measuring maximum exerted forces. Musculoskeletal models, which mathematically represent the human skeleton, joints, and muscles, allow for in silico representation of force feasible sets in various postures through geometric operations (Minkowski sum, projection, intersection) on convex sets. However, these operations are computationally expensive. This thesis first focuses on a novel approach to reduce the computational time of one of the most demanding tasks within this framework.Furthermore, existing in silico models often employ various geometric assumptions about how muscle tensions contribute to joint torques, leading to different characterizations of force feasible sets' shapes, including 3D polytopes and ellipsoids. This thesis proposes a unified framework to represent force feasible sets that explicitly incorporates these geometric assumptions. This framework addresses the limitations of current numerical simulations, which struggle to analyze complex scenarios involving more detailed representation of musculoskeletal models and inherently higher computational costs.In this regard, accurate representation of individual force capabilities requires precise parameterization of musculoskeletal model components. Given the set-theoretic nature of force feasible sets, this thesis introduces an adapted sensitivity analysis tailored to assess the influence of parameters on the geometric properties of force feasible sets. This analysis also highlights the challenges of personalizing musculoskeletal models due to biomechanical inter-variability.Finally, an experimental protocol was established to confront in silico personalization processes with experimentally measured maximal isometric force exertions collected across various postures. Through biomechanical assumptions leading to a computationally less expensive representation of force feasible sets as ellipsoids, muscle parameters personalization is achieved, validating in vivo the theoretically-driven results of this thesis
Zhang, Bo. "Sur la commande à retour d'effort à travers des réseaux non dédiés : stabilisation et performance sous retards asymétriques et variables." Phd thesis, Ecole Centrale de Lille, 2012. http://tel.archives-ouvertes.fr/tel-00733141.
Повний текст джерелаКниги з теми "Polytope de force"
Частини книг з теми "Polytope de force"
Mejia, L., H. Simas, and D. Martins. "Force Capability Polytope of a 3RRR Planar Parallel Manipulator." In Advances on Theory and Practice of Robots and Manipulators, 537–45. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07058-2_60.
Повний текст джерелаMejia, Leonardo, Henrique Simas, and Daniel Martins. "Force Capability Polytope of a 4RRR Redundant Planar Parallel Manipulator." In Advances in Robot Kinematics, 87–94. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06698-1_10.
Повний текст джерелаErdinc, Umur, Mats Jonasson, Maliheh Sadeghi Kati, Leo Laine, Bengt Jacobson, and Jonas Fredriksson. "Yaw Stability Control of Vehicles Using a Slip Polytope Validated with Real Tests." In Lecture Notes in Mechanical Engineering, 130–36. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_19.
Повний текст джерелаGreve, J., G. J. Puppels, C. J. De Grauw, C. A. J. Putman, and B. G. De Grooth. "Raman Spectroscopy and Atomic Force Microscopy of Polytene Chromosomes." In Fifth International Conference on the Spectroscopy of Biological Molecules, 85–86. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1934-4_29.
Повний текст джерелаDai, Xiaowei, Yuru Zhang, Dangxiao Wang, and Jian Song. "Structural Characteristics of Force/Moment Polytopes of Cable Driven Parallel Mechanisms." In Advances in Reconfigurable Mechanisms and Robots II, 375–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23327-7_33.
Повний текст джерелаKhedr, Haitham, James Ferlez, and Yasser Shoukry. "PEREGRiNN: Penalized-Relaxation Greedy Neural Network Verifier." In Computer Aided Verification, 287–300. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81685-8_13.
Повний текст джерелаТези доповідей конференцій з теми "Polytope de force"
Skuric, Antun, Vincent Padois, and David Daney. "On-line force capability evaluation based on efficient polytope vertex search." In 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021. http://dx.doi.org/10.1109/icra48506.2021.9562050.
Повний текст джерелаLaisné, Gautier, Nasser Rezzoug, and Jean-Marc Salotti. "Derivative-Free Optimization Approaches for Force Polytopes Prediction." In ESANN 2023 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com, 2023. http://dx.doi.org/10.14428/esann/2023.es2023-122.
Повний текст джерелаTian, Yuan, Feng Gao, and Jimu Liu. "Velocity/Force Capacities of a Six-Legged Walking Machine." 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/detc2017-67543.
Повний текст джерелаPholsiri, Chalongrath, Chetan Kapoor, and Delbert Tesar. "Real-Time Robot Capability Analysis." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84353.
Повний текст джерелаBilyi, Vladyslav, and Oleksandr Vasiliev. "A first-principles study of uniaxial compression of boron carbide doped by aluminum in intercosahedral chain." In IXth INTERNATIONAL SAMSONOV CONFERENCE “MATERIALS SCIENCE OF REFRACTORY COMPOUNDS”. Frantsevich Ukrainian Materials Research Society, 2024. http://dx.doi.org/10.62564/m4-vb1846.
Повний текст джерелаTürkay, Semiha, and Aslı S. Leblebici. "Vibration Control of a Rigid and Flexible High-Speed Railway Vehicle." In 2020 Joint Rail Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/jrc2020-8096.
Повний текст джерела