• Corpus ID: 15152708

A proposed hybrid neural network for position control of a walking robot

@inproceedings{Yldrm2008APH,
  title={A proposed hybrid neural network for position control of a walking robot},
  author={Sahin Y{\~o}ld{\~o}r{\~o}m},
  year={2008}
}
The use of a proposed recurrent neural net- work control system to control a four-legged walking robot is presented in this paper. The control system consists of a neural controller, a standard PD con- troller, and the walking robot. The robot is a planar four-legged walking robot. The proposed Neural Net- work (NN) is employed as an inverse controller of the robot. The NN has three layers, which are input, hybrid hidden and output layers. In addition to feed- forward connections from the input… 
A neural based position controller for an electrohydraulic servo system
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Robotic Home-Based Rehabilitation Systems Design: From a Literature Review to a Conceptual Framework for Community-Based Remote Therapy During COVID-19 Pandemic
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A comprehensive review on developed home-based rehabilitation technologies of the last 10 years, categorizing them into upper and lower limb devices and considering both commercialized and state-of-the-art realms is presented.

References

SHOWING 1-10 OF 11 REFERENCES
Neural inverse modeling and control of a base-excited inverted pendulum
  • C. Wu, N. Sepehri
  • Engineering
    Proceedings 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Cat. No.01EX515)
  • 2001
In this paper multilayer neural networks are used to control the balancing of a base-excited inverted pendulum. The pendulum has two degrees of rotational freedom and the base-point moves freely in
Optimal Control of an n-Legged Robot
TLDR
The effectiveness of this method for controlling the dynamic balance of legged robots using optimal state feedback is illustrated through simulation responses obtained for a biped model under both single and double support constraint conditions.
Q-learning of complex behaviours on a six-legged walking machine
We present work on a six-legged walking machine that uses a hierarchical version of Q-learning (HQL) to learn both the elementary swing and stance movements of individual legs as well as the overall
Biped side step in the frontal plane
  • R. Goddard, H. Hemami, F. Weimer
  • Engineering
    1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes
  • 1981
TLDR
A three-link planar model of a biped is studied in the frontal plane and the forces of constraint are derived as functions of the system state and the input, and can be shown in a simple block diagram.
Introduction to robotics: Mechanics and control
  • F. Merat
  • Computer Science
    IEEE J. Robotics Autom.
  • 1987
A proposed neural network control system for two cooperating robots
  • J. Intell. Robot. Syst
  • 2005
Neural network for control of bipedal robots
  • IEE Electron. Lett
  • 1999
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