| 书目名称 | Neural Networks in Robotics |
| 编辑 | George A. Bekey (Professor),Kenneth Y. Goldberg (A |
| 视频video | http://file.papertrans.cn/664/663721/663721.mp4 |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | .Neural Networks in Robotics. is the first book to presentan integrated view of both the application of artificial neuralnetworks to robot control and the neuromuscular models from whichrobots were created. The behavior of biological systems provides boththe inspiration and the challenge for robotics. The goal is to buildrobots which can emulate the ability of living organisms to integrateperceptual inputs smoothly with motor responses, even in the presenceof novel stimuli and changes in the environment. The ability of livingsystems to learn and to adapt provides the standard against whichrobotic systems are judged. In order to emulate these abilities, anumber of investigators have attempted to create robot controllerswhich are modelled on known processes in the brain andmusculo-skeletal system. Several of these models are described in thisbook. .On the other hand, connectionist (artificial neural network)formulations are attractive for the computation of inverse kinematicsand dynamics of robots, because they can be trained for this purposewithout explicit programming. Some of the computational advantages andproblems of this approach are also presented. .For any serious student of |
| 出版日期 | Book 1993 |
| 关键词 | expert system; kinematics; learning; mobile robot; optimization; programming; proving; robot; robotics; sensi |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-3180-7 |
| isbn_softcover | 978-1-4613-6394-1 |
| isbn_ebook | 978-1-4615-3180-7Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Springer Science+Business Media New York 1993 |
|Archiver|手机版|小黑屋|
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