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EduSCARA: An open source RRPR educational SCARA platform. [PDF]

HardwareX
Clark A, Martinez-Hernandez U, Assaf T.
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Forward kinematics solution of Stewart platform using neural networks

Neurocomputing, 1997
Abstract 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.
Yee, C.S., Lim, K.-B.
openaire   +3 more sources

The Forward Solution of Kinematics About 5-DOF Dispensing Manipulator

Advanced Materials Research, 2012
The dispensing manipulator is one of the focus-researching projects at present,according to 5-DOF dispensing robot,firstly we completed designing the structure diagram of manipulator,and then used the mathematica calculation to finish the forward solution of kinematics about 5-DOF dispensing maniputor,which is derived the overall transformation matrix ...
Gong Chang Ren, Yong Fei Wang, Qing Ye, Bo Chen   +3 more
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Robust estimator design for forward kinematics solution of a Stewart platform

Journal of Robotic Systems, 1998
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.
Jiyoon Kang, Dong Hwan Kim, Kyo‐Il Lee
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D-H Parameters and Forward Kinematics Solution for 6D of Surgical Robot

Applied Mechanics and Materials, 2013
Since 1985 when the first appear of robots in surgery field, the interest and the amount of research in surgical robots have been increase significantly. We study in this paper the kinematics of a 6dof surgical robot by determining Denavit-Hartenberg parameters using simple approach supported by robotic toolbox.
Edris Farah, Shao Gang Liu
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NN-based solution of forward kinematics of 3DOF parallel spherical manipulator

2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
In this paper, neural networks are trained to compute the forward kinematics of spherical parallel manipulator (PM) for laparoscopic surgery application. Instead of solving a set of nonlinear equations for the forward kinematics, neural networks are used to map the input angles of revolute joints to the orientation of the manipulator. The training data
Temei Li, Qingguo Li, S. Payendeh
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