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• W2261535265 abstract "Abstract At present, there are plenty of industrial robots that are programmed to do the same repetitive task all the time. Industrial robots doing such kind of job are not able to understand whether the action is correct, effective or good. Object detection, manipulation and grasping is challenging due to the hand and object modeling uncertainties, unknown contact type and object stiffness properties. In this paper, the proposal of an intelligent humanoid hand object detection and grasping model is presented assuming that the object properties are known. The control is simulated in the Matlab Simulink/ SimMechanics, Neural Network Toolbox and Computer Vision System Toolbox." @default.
• W2261535265 created "2016-06-24" @default.
• W2261535265 creator A5080964746 @default.
• W2261535265 date "2015-08-01" @default.
• W2261535265 modified "2023-09-25" @default.
• W2261535265 title "Improving Cognitive Skills of the Industrial Robot" @default.
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• W2261535265 doi "https://doi.org/10.1515/rput-2015-0023" @default.
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