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Forward Kinematics Solution for a General Stewart Platform Through Iteration Based Simulation
This paper presents a method to generate feasible, unique forward-kinematic solutions for a general Stewart platform. This is done by using inverse kinematics to obtain valid workspace data and corresponding actuator lengths for the moving platform. For parallel kinematic machines, such as the Stewart Platform, inverse kinematics are straight forward ...
Cameron Turner
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The paper presents the robust finite-time tracking of Stewart platform using super-twisting sliding mode observer based forward kinematics solution. The forward kinematics problem-finding the states from the leg length measurements-in Stewart platform ...
Abhisek K Behera, Bijnan Bandyopadhyay
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This paper presents a new kinematics model for linear-actuated symmetrical spherical parallel manipulators (LASSPMs) which are commonly used considering their symmetrical kinematics and dynamics properties. The model has significant advantages in solving
Dongming Gan +2 more
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Real Time Forward Kinematics Solutions for General Stewart Platforms
Proceedings - IEEE International Conference on Robotics and Automation, 2007A new paradigm is introduced for solving the forward kinematics of general Stewart platforms in real-time. It consists of an off-line preprocessing phase and an online realtime evaluation phase. In the preprocessing phase, the platform leg (link) space is decomposed into cells, and a large set of data is generated for the platform position/orientation (
Mahmoud Tarokh
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Survey Paper on the Forward Kinematics Solution of a Stewart Platform
2022 Second International Conference on Next Generation Intelligent Systems (ICNGIS), 2022Ramesh P Kumar
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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 +2 more
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Neural Network Solution for Forward Kinematics Problem of Cable Robots
Journal of Intelligent & Robotic Systems, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ali Ghasemi +2 more
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