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A Combined Inverse Kinematics Algorithm Using FABRIK with Optimization
Solving the inverse kinematics of redundant and hyper-redundant manipulators is more challenging because their kinematic redundancy leads to a more...
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Locomotion generation for quadruped robots on challenging terrains via quadratic programming
This paper proposes a locomotion generation method for quadruped robots, which first computes an optimal trajectory of the robot’s center of mass...
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Inverse Reinforcement Learning for Optimal Control Systems
To overcome the need forOptimal control manual specification of cost functions in an agent, inverse reinforcement learningReinforcement Learning...
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The Inverse Kinematics Problem of the Generalised Stanford Arm
This paper aims to elaborate a technique to solve the inverse kinematics problem (IKP) of a general RRPRRR serial link manipulator which turns out to...
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An alternative approach to quadratic scoring rules using continuous-valued logic
Following tfhe seminal paper of Offerman et al. (
2009 ), in this study, adaptations of constructions of continuous-valued logic to prospect theory are...
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Inverse Problem of Contaminant Transport in Porous Media
In this paper, we consider the inverse problem of identifying the retardation coefficient of a parabolic differential equation describing the solute...
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Inverse system optimal control of interleaved boost converters
When compared with the conventional boost converter, the interleaved boost converter (IBC) has the advantages of low current stress. Thus, they have...
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The solution techniques for linear and quadratic equations with coefficients as Cauchy neutrosphic numbers
Finding the roots of equations is an ancient art of mathematics. To deal with the physical phenomena with vague information, the relations and...
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Probik: Protein Backbone Motion by Inverse Kinematics
To investigate the parameters of the protein design problem that we are exploring in collaboration with biochemists, we developed a tool that uses...
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Nucleation and Development of Multiple Cracks in Thin Composite Fibers via the Inverse-Deformation Approach
We study the nucleation and development of crack patterns in thin composite fibers under tension in this work. A fiber comprises an elastic core and...
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Energies for Elastic Plates and Shells from Quadratic-Stretch Elasticity
We derive stretching and bending energies for isotropic elastic plates and shells. Through the dimensional reduction of a bulk elastic energy...
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The effects of non-inverse-square-root stress singularity on some crack propagation criteria in hydraulic fracturing
Numerous crack propagation criteria have been employed in numerical investigations of hydraulic fracturing. Some criteria rely on linear elastic...
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Inverse Problem for a Distributed System from Pulse Technology
AbstractAn inverse problem with distributed parameters for the process of the self-focusing of cylindrical X-ray pulses in a plasma is considered,...
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Semi-supervised invertible neural operators for Bayesian inverse problems
Neural Operators offer a powerful, data-driven tool for solving parametric PDEs as they can represent maps between infinite-dimensional function...
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A Discrete-time Projection Neural Network for Solving Convex Quadratic Programming Problems with Hybrid Constraints
A new discrete-time neural network is proposed for solving convex quadratic programming problems with hybrid constraints. Based on the projection...
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Inverse Kinematics
What are the joint variables for a given configuration of a robot? This is the problem to be answered by inverse kinematic analysis. In this chapter,...
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Linear Algebra
Many practical scientific and engineering problems are functions of multiple variables, which are systematically organized into a system of linear...
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Inverse Reinforcement Learning for Multiplayer Non-Zero-Sum Games
ChaptersReinforcement Learning (RL) chapter6 and chapter7 focus on inverse RL for differential systems involving one or two players, where each...
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Linear Quadratic Zero-Sum Two-Person Differential Games
As in optimal control theory, linear quadratic (LQ) differential games (DG) can be solved, even in high dimension, via a Riccati equation. However,...
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Linear Regression Models
Another widely used analysis method originating from statistics is linear regression. Since many application problems require the prediction of a...