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Can I read Inverse Kinematic Neuro-control of Robotic Systems on EtoBox?
Inverse Kinematic Neuro-control of Robotic Systems by Nikhil A. Deshpande; Madan M. Gupta is a Computer Science article available to read on EtoBox.
What is Inverse Kinematic Neuro-control of Robotic Systems about?
The emergence of the theory of dynamic neural computing has made it possible to develop neural learning and adaptive schemes that can be used to obtain feasible solutions to complex control problems, such as inverse kinematic control for robotic systems. In this paper, such a neural learning scheme using a multilayered dynamic neural network (MDNN) is proposed. The basic dynamic computing element of the MDNN is a dynamic neural unit (DNU), developed in this paper. The learning and adaptive capabilities of the dynamic neural unit can be used for developing complex dynamic structures. In this paper, the DNU has been used for developing a multilayered dynamic neural network for the inverse kinematic control of a two-linked robot. The validity of the proposed scheme is demonstrated through computer simulation studies.
Who reads Inverse Kinematic Neuro-control of Robotic Systems?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Nikhil A. Deshpande; Madan M. Gupta
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0952-1976)
- Published
- 1998
- Language
- EN
- Field
- Computer Science (Physical Sciences)