Results 261 to 270 of about 220,034 (302)

Manipulator inverse kinematics based on joint functions

Proceedings. 1988 IEEE International Conference on Robotics and Automation, 2003
A novel iterative inverse transform solution for robotic manipulators, termed functional joint control (FJC), is proposed. It is applicable to an important class of robots that includes many industrial robots. FJC is numerically well-behaved around singularities. The rate of convergence of FJC is comparable to other iterative solutions.
Joseph K. Poon, Peter D. Lawrence
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Joint Lithologic Inversion

2002
Ambiguous dependence of observed data related to lithologic parameters suggests that both deterministic mechanism and statistical behaviour characterize practical lithologic inversion problems. The Caianiello neural network method is presented in this paper, including neural wavelet estimation, input signal reconstruction, and nonlinear factor ...
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The Dynamics of the Subtalar Joint in Sudden Inversion of the Foot

Journal of Biomechanical Engineering, 1990
The human subtalar joint was modelled as a quasi-linear second-order underdamped system to simulate sudden inversion motion of the foot relative to the shank. The model was fed with experimental data obtained from six subjects on a specially constructed apparatus.
J, Mizrahi, Y, Ramot, Z, Susak
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Inverse estimation of joint angles of robot arm by network inversion

SICE Annual Conference 2007, 2007
The inverse problems that estimate the cause from the results have been studied in the various engineering fields. The network inversion was proposed for solving inverse problems using a multilayer neural network. In this study, the network inversion is applied to the inverse estimation of the joint angles of the robot arm.
null Nanae Sekiguchi, null Takehiko Ogawa, null Hajime Kanada   +2 more
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Investigation of a multiphysics joint inversion framework

2021
<p>We present a 3-D multiphysics joint inversion framework that in a certain sense is a trade-off between “simultaneous” and “cooperative” approaches to data integration. Using a variable splitting approach, inverse problems are solved by individual inverse solvers, on individual ...
Dmitry Molodtsov, Duygu Kiyan, Christopher Bean   +2 more
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Joint Traditional and Reflection Envelope Inversion

IEEE Geoscience and Remote Sensing Letters, 2022
Yong Hu 0006, Li-Yun Fu, Wubing Deng, Qingqing Li, Xingguo Huang   +4 more
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Joint inversion for correlated models in linear inverse problems

2009
Inverse problems arise in many fields. They are usually ill-posed since they often violate one or more of Hadmard's three conditions for well-posedness: existence, uniqueness and stability. In this thesis, we propose a new method for computing approximate solutions in certain linear inverse problems.
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A Joint Waveform Inversion Strategy - Combing Full Waveform Inversion with Prismatic Waveform Inversion

Proceedings, 2015
Prismatic wave contains a lot of subsurface information that primary can not reach. In this paper, prismatic wave is used alone for imaging in order to improve the inversion speed of high and steep structure. Under the guidance of this idea, a prismatic waveform inversion (PWI) method is proposed.
Y.M. Qu, J.P. Huang, Z.C. Li, Y.T. Han, Q.Y. Li   +4 more
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Joint Inversion of Facies and Reservoir Properties

81st EAGE Conference and Exhibition 2019, 2019
Summary We present a Bayesian inversion methodology for seismic reservoir characterization studies. The goal of the method is to predict rock and fluid properties and facies given a set of seismic data or amplitudes and their posterior probability distribution. The joint distribution of facies and petrophysical properties is modelled using a mixture of
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Joint Inversion: One Mans Perspective

81st EAGE Conference and Exhibition 2019 Workshop Programme, 2019
Summary Tremendous advances have been made in the last two decades in joint inversion of multiple data sets. Coupling of all forms of geophysical data and flow data have been demonstrated. Advances in methods to link the data sets and associated parameters, both by structural and rock-physics coupling approaches have been key to the impressive results ...
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