A neural network-based approach for an assembly cell control-Reference-Cited by-同舟云学术

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A neural network-based approach for an assembly cell control

Published:2008-09 Issue:4 Volume:8 Page:1335-1343
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Touati Y.,Amirat Y.,Saadia N.,Ali-Chérif A.

Publisher

Elsevier BV

Subject

Software

Reference29 articles.

1. A unified approach to motion and force control of robot manipulator;Khatib;IEEE Trans. Robot. Autom.,1987

2. Hybrid position/force control of manipulators;Raibert;J. Dynam. Syst. Meas. Control: Trans. ASME,1982

3. J. Park, Control Strategies for Robots in Contact, PhD Thesis, Stanford University, 2006.

4. Force/position tracking of a robot in compliant contact with unknown stiffness and surface kinematics;Doulgeri,2007

5. What is the remote center compliance (RCC) and what can it do;Whitney,1979

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1. Robot Control by Computed Torque Based on Support Vector Regression;Lecture Notes in Computer Science;2016

2. Robot Perception Based on Different Computational Intelligence Techniques;Emerging Technologies for Information Systems, Computing, and Management;2013

3. Hybrid moment/position control of a parallel robot;International Journal of Control, Automation and Systems;2012-06

4. A stable adaptive force/position controller for a C5 parallel robot: a neural network approach;Robotica;2012-01-17

5. A Force-Feedback Assembly Method for Micro Parts Based on SRNN;Applied Mechanics and Materials;2011-10

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