渗漏
发表于 2025-3-21 17:56:48
书目名称Neural Networks in Robotics影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0663721<br><br> <br><br>书目名称Neural Networks in Robotics影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0663721<br><br> <br><br>书目名称Neural Networks in Robotics网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0663721<br><br> <br><br>书目名称Neural Networks in Robotics网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0663721<br><br> <br><br>书目名称Neural Networks in Robotics被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0663721<br><br> <br><br>书目名称Neural Networks in Robotics被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0663721<br><br> <br><br>书目名称Neural Networks in Robotics年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0663721<br><br> <br><br>书目名称Neural Networks in Robotics年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0663721<br><br> <br><br>书目名称Neural Networks in Robotics读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0663721<br><br> <br><br>书目名称Neural Networks in Robotics读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0663721<br><br> <br><br>
CONE
发表于 2025-3-21 23:17:08
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.
鲁莽
发表于 2025-3-22 01:36:43
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FORGO
发表于 2025-3-22 08:09:12
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骄傲
发表于 2025-3-22 08:56:40
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LARK
发表于 2025-3-22 16:54:18
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conference
发表于 2025-3-22 17:22:50
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.
Repetitions
发表于 2025-3-22 22:25:00
The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/n/image/663721.jpg
动机
发表于 2025-3-23 01:49:28
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cajole
发表于 2025-3-23 07:08:19
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-