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Titlebook: Neural Networks in Robotics; George A. Bekey (Professor),Kenneth Y. Goldberg (A Book 1993 Springer Science+Business Media New York 1993 ex

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書目名稱Neural Networks in Robotics
編輯George A. Bekey (Professor),Kenneth Y. Goldberg (A
視頻videohttp://file.papertrans.cn/664/663721/663721.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Neural Networks in Robotics;  George A. Bekey (Professor),Kenneth Y. Goldberg (A Book 1993 Springer Science+Business Media New York 1993 ex
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
關(guān)鍵詞expert system; kinematics; learning; mobile robot; optimization; programming; proving; robot; robotics; sensi
版次1
doihttps://doi.org/10.1007/978-1-4615-3180-7
isbn_softcover978-1-4613-6394-1
isbn_ebook978-1-4615-3180-7Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1993
The information of publication is updating

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Hopfield Net Generation and Encoding of Trajectories in Constrained EnvironmentHopfield network transient dynamic is being exploited for resolving a path planning problem. A set of temporal trajectories which join two points, pass along others, avoid obstacles and be the shortest possible are discovered and encoded in the weights of the net.
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Control of Grasping in Robot Hands by Neural Networks and Expert Systems contrasted with control based on knowledge-based systems and neural networks. The development of an expert system for grasp control, which includes consideration of both object geometry and task, is described in detail. The chapter includes descriptions of neural network applications to the prediction of grasping in both human and robot hands.
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Learning Global Topological Properties of Robot Kinematic Mappings for Neural Network-based Configuresulting in a global regularization of the ill-posed inverse problem.. Reasonable assumptions about the kinematic mapping, based on the physical properties of a robot arm, are exploited to learn the global topology of the mapping. Heuristic algorithms are applied to the wristless Puma 560 and the 3-
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