scholarly journals Parametric motion control of robotic arms: A biologically based approach using neural networks

1993 ◽  
Vol 10 (3) ◽  
pp. 179-185 ◽  
Author(s):  
O Bock ◽  
G.M.T D'Eleuterio ◽  
J Lipitkas ◽  
J.J Grodski
Keyword(s):  
Neural Networks ◽  
Motion Control ◽  
Robotic Arms ◽  
Parametric Motion

scholarly journals Robotic kiwifruit harvesting using machine vision, convolutional neural networks, and robotic arms

2019 ◽  
Vol 181 ◽  
pp. 140-156 ◽  
Author(s):  
Henry A.M. Williams ◽  
Mark H. Jones ◽  
Mahla Nejati ◽  
Matthew J. Seabright ◽  
Jamie Bell ◽  
...  
Keyword(s):  
Neural Networks ◽  
Machine Vision ◽  
Convolutional Neural Networks ◽  
Robotic Arms

A Variational Approach for Modeling Flexibility Effects in Manipulator Arms

Robotica ◽  
1991 ◽  
Vol 9 (2) ◽  
pp. 213-217 ◽  
Author(s):  
Ali Meghdari
Keyword(s):  
Motion Control ◽  
Variational Approach ◽  
Control Algorithms ◽  
General Technique ◽  
Robotic Arms ◽  
Cartesian Space ◽  
The Matrix ◽  
Structural Deformations ◽  
Castigliano’S Theorem ◽  
Compliance Coefficients

SUMMARYThis paper presents a general technique to model flexible components (mainly links and joints flexibilities are considered) of manipulator arms based on Castigliano's theorem of least work. The robotic arms flexibility properties are derived and represented by the matrix of compliance coefficients. Such expressions can be used to determine the errors due to the robotic tip deformations under the application of a set of applied loads at the tip in a Cartesian space. Once these deformations are computed, they may be used to correct for the positional errors arisen from the robotic structural deformations in the motion control algorithms.

scholarly journals Improvement of specialized industrial manipulator movement control

2018 ◽  
Vol 18 ◽  
pp. 01004 ◽  
Author(s):  
Vladimir Kuvshinnikov ◽  
Evgeny Kovshov
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Motion Control ◽  
Movement Control ◽  
Efficiency Improvement ◽  
Industrial Robotics ◽  
Industrial Manipulator ◽  
Management Efficiency ◽  
Trajectory Formation ◽  
Key Features

This article deals with the specialized portal manipulator motion control. The key features of the system are analysed, management efficiency improvement task is considered and formulated. An approach to the manipulator trajectory formation is proposed, based on existing mobile and industrial robotics solutions including artificial neural networks.

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