Results 221 to 230 of about 7,533 (288)
Dynamic quality aware path planning for 6 DoF robotic arms using BiRRT and metaheuristic optimization based on B spline paths. [PDF]
Elgohr AT +4 more
europepmc +1 more source
Design, Modeling, and Experimental Verification of a Fully Decoupled Tendon-Driven Humanoid Arm. [PDF]
Huang D +6 more
europepmc +1 more source
Neural network solution for the forward kinematics problem of a redundant hydraulic shoulder
In this paper, a neural network based solution for forward kinematics analysis of a hydraulic shoulder is presented. The shoulder has three degrees of freedom rotational motion produced by four hydraulic cylinders which makes it a redundant parallel robotic shoulder.
Mohammad Eghtesad
exaly +3 more sources
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Forward kinematics solution of Stewart platform using neural networks
Neurocomputing, 1997Abstract The Stewart platform's unique structure presents an interesting problem in its forward kinematics (FK) solution. It involves the solving of a series of simultaneous non-linear equations and, usually, non-unique, multiple sets of solutions are obtained from one set of data.
Choon-seng Yee, Kah Bin Lim 0001
exaly +2 more sources
Inverse kinematics solution using neural networks from forward kinematics equations
2017 9th International Conference on Knowledge and Smart Technology (KST), 2017This paper presents the inverse kinematics solution using the neural network for a robotic arm in 3-dimension. This paper creates neural networks to represent x, y and z position of the end-effector in the forward kinematics equations. The structure of the network has 4 layers; input layer, 2 hidden layers, and output layer. The input and output layers
Yuttana Kitjaidure
exaly +2 more sources
Robust estimator design for forward kinematics solution of a Stewart platform
Summary: We propose a robust estimator design to solve the forward kinematics in 6 DOF motion bed (Stewart platform). The stability of the proposed estimator is proved via Lyapunov stability analysis, and the estimator guarantees practical stability.
Ji-Yoon Kang, Dong Hwan Kim, Kyo-Il Lee
+5 more sources

