Inverse Kinematics Problem in Robotics Using Neural Networks
Title | Inverse Kinematics Problem in Robotics Using Neural Networks PDF eBook |
Author | Benjamin B. Choi |
Publisher | |
Pages | 28 |
Release | 1992 |
Genre | |
ISBN |
Adaptive and Natural Computing Algorithms
Title | Adaptive and Natural Computing Algorithms PDF eBook |
Author | Bernadete Ribeiro |
Publisher | Springer Science & Business Media |
Pages | 561 |
Release | 2005-12-12 |
Genre | Computers |
ISBN | 3211273891 |
The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials.
Inverse Kinematics in Robotics Using Neural Networks
Title | Inverse Kinematics in Robotics Using Neural Networks PDF eBook |
Author | Sreenivas Tejomurtula |
Publisher | |
Pages | 118 |
Release | 1997 |
Genre | |
ISBN |
Inverse Kinematics Problem in Robotics Using Neural Networks
Title | Inverse Kinematics Problem in Robotics Using Neural Networks PDF eBook |
Author | National Aeronautics and Space Administration (NASA) |
Publisher | Createspace Independent Publishing Platform |
Pages | 28 |
Release | 2018-07-05 |
Genre | |
ISBN | 9781722318260 |
In this paper, Multilayer Feedforward Networks are applied to the robot inverse kinematic problem. The networks are trained with endeffector position and joint angles. After training, performance is measured by having the network generate joint angles for arbitrary endeffector trajectories. A 3-degree-of-freedom (DOF) spatial manipulator is used for the study. It is found that neural networks provide a simple and effective way to both model the manipulator inverse kinematics and circumvent the problems associated with algorithmic solution methods. Choi, Benjamin B. and Lawrence, Charles Glenn Research Center RTOP 506-43-41...
Analysis of Mechanisms and Robot Manipulators
Title | Analysis of Mechanisms and Robot Manipulators PDF eBook |
Author | Joseph Duffy |
Publisher | John Wiley & Sons |
Pages | 444 |
Release | 1980 |
Genre | Technology & Engineering |
ISBN |
Neural Networks in Robotics
Title | Neural Networks in Robotics PDF eBook |
Author | George Bekey |
Publisher | Springer Science & Business Media |
Pages | 582 |
Release | 1992-11-30 |
Genre | Technology & Engineering |
ISBN | 9780792392682 |
Neural Networks in Robotics is the first book to present an integrated view of both the application of artificial neural networks to robot control and the neuromuscular models from which robots were created. The behavior of biological systems provides both the inspiration and the challenge for robotics. The goal is to build robots which can emulate the ability of living organisms to integrate perceptual inputs smoothly with motor responses, even in the presence of novel stimuli and changes in the environment. The ability of living systems to learn and to adapt provides the standard against which robotic systems are judged. In order to emulate these abilities, a number of investigators have attempted to create robot controllers which are modelled on known processes in the brain and musculo-skeletal system. Several of these models are described in this book. On the other hand, connectionist (artificial neural network) formulations are attractive for the computation of inverse kinematics and dynamics of robots, because they can be trained for this purpose without explicit programming. Some of the computational advantages and problems of this approach are also presented. For any serious student of robotics, Neural Networks in Robotics provides an indispensable reference to the work of major researchers in the field. Similarly, since robotics is an outstanding application area for artificial neural networks, Neural Networks in Robotics is equally important to workers in connectionism and to students for sensormonitor control in living systems.
Neural Systems for Robotics
Title | Neural Systems for Robotics PDF eBook |
Author | Omid Omidvar |
Publisher | Elsevier |
Pages | 369 |
Release | 2012-12-02 |
Genre | Computers |
ISBN | 008092509X |
Neural Systems for Robotics represents the most up-to-date developments in the rapidly growing aplication area of neural networks, which is one of the hottest application areas for neural networks technology. The book not only contains a comprehensive study of neurocontrollers in complex Robotics systems, written by highly respected researchers in the field but outlines a novel approach to solving Robotics problems. The importance of neural networks in all aspects of Robot arm manipulators, neurocontrol, and Robotic systems is also given thorough and in-depth coverage. All researchers and students dealing with Robotics will find Neural Systems for Robotics of immense interest and assistance. Focuses on the use of neural networks in robotics-one of the hottest application areas for neural networks technology Represents the most up-to-date developments in this rapidly growing application area of neural networks Contains a new and novel approach to solving Robotics problems