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Dexterous robotic hand grasp modeling using piecewise linear dynamic model

机译:使用分段线性动力学模型的敏捷机器人抓手建模

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摘要

Learning from sensor data is important in many robotic research areas, such as dexterous robotic hand grasping. In this paper, a piecewise linear dynamic model is proposed for analyzing robotic hand grasp. The combination of linear dynamic model and the switched systems can achieve better results in grasp learning due to its advantage of modeling multi-phase grasping process. To the best knowledge of the authors, this is the first time for piecewise linear dynamic model to be incorporated into the framework of modeling robotic hand grasp process. The performance of the proposed model is evaluated on our experimental system and shows promising results.
机译:从传感器数据中学习在许多机器人研究领域都很重要,例如灵巧的机器人手抓握。本文提出了一种用于分析机器人手部抓握的分段线性动力学模型。线性动力学模型和切换系统的结合由于具有建模多阶段抓取过程的优势,因此在抓取学习中可以获得更好的结果。据作者所知,这是将分段线性动态模型首次纳入到建模机器人手抓过程的框架中。该模型的性能在我们的实验系统上进行了评估,并显示出令人鼓舞的结果。

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