Adaptive robot control using neural networks

1994 ◽  
Vol 41 (2) ◽  
pp. 173-181 ◽  
Author(s):  
M. Saad ◽  
P. Bigras ◽  
L.-A. Dessaint ◽  
K. Al-Haddad
Keyword(s):  
Neural Networks ◽  
Robot Control ◽  
Adaptive Robot Control

Forward Kinematic Modeling of Conical-Shaped Continuum Manipulators

Robotica ◽  
2021 ◽  
pp. 1-19
Author(s):  
A. H. Bouyom Boutchouang ◽  
Achille Melingui ◽  
J. J. B. Mvogo Ahanda ◽  
Othman Lakhal ◽  
Frederic Biya Motto ◽  
...  
Keyword(s):  
Neural Networks ◽  
Data Collection ◽  
Robot Control ◽  
Deep Neural Networks ◽  
Forward Kinematics ◽  
Kinematic Modeling ◽  
Experimental Platform ◽  
Continuum Manipulators ◽  
Forward Kinematic

SUMMARY Forward kinematics is essential in robot control. Its resolution remains a challenge for continuum manipulators because of their inherent flexibility. Learning-based approaches allow obtaining accurate models. However, they suffer from the explosion of the learning database that wears down the manipulator during data collection. This paper proposes an approach that combines the model and learning-based approaches. The learning database is derived from analytical equations to prevent the robot from operating for long periods. The database obtained is handled using Deep Neural Networks (DNNs). The Compact Bionic Handling robot serves as an experimental platform. The comparison with existing approaches gives satisfaction.

NEURAL NETWORKS FOR ROBOT CONTROL

1995 ◽  
pp. 159-166
Author(s):  
G. Cembrano ◽  
C. Torras ◽  
G. Wells
Keyword(s):  
Neural Networks ◽  
Robot Control
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