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On grasp choice, grasp models, and the design of hands for manufacturing tasks

机译:在掌握选择,掌握模型和完成制造任务的指针的设计上

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摘要

Current analytical models of grasping and manipulation with robotic hands contain simplifications and assumptions that limit their application to manufacturing environments. To evaluate these models, a study was undertaken of the grasps used by machinists in a small batch manufacturing operation. Based on the study, a taxonomy of grasps was constructed. An expert system was also developed to clarify the issues involved in human grasp choice. Comparisons of the grasp taxonomy, the expert system, and grasp-quality measures derived from the analytic models reveal that the analytic measures are useful for describing grasps in manufacturing tasks despite the limitations in the models. In addition, the grasp taxonomy provides insights for the design of versatile robotic hands for manufacturing.
机译:当前用机械手抓握和操纵的分析模型包含简化和假设,这些简化和假设限制了它们在制造环境中的应用。为了评估这些模型,对小批量生产过程中机械师使用的抓握力进行了研究。在此研究的基础上,构建了抓握分类法。还开发了一个专家系统来阐明与人为把握选择有关的问题。从分析模型得出的抓握分类法,专家系统和抓握质量度量的比较显示,尽管模型存在局限性,但分析度量仍可用于描述制造任务中的抓握。此外,抓握分类法还为设计用于制造的多功能机械手提供了见识。

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