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Robotic grippers for large and soft object manipulation

机译:机器人夹具,用于大而柔软的物体操纵

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Grasping has always been considered a key domain of cyber-physical systems, through which action physical interaction can be achieved. This paper presents a systematic review of the state-of-the-art robotic soft object gripping solutions aimed for the food-industry, focusing on red meat handling. A categorized analysis about the currently used grippers is provided, that could be used or adapted to robotic meat-processing. The paper enlists various solutions and gripping principles for low-payload applications too, although the emphasis is on the classic shape-locking and force-locking grippers that are potentially capable of grasping and manipulating heavier specimens. The purpose of the scientific literature survey is mainly to identify exceptional and/or remarkable gripper-designs, or completely new gripping concepts, while the patent research presents complete, commercially available solutions.
机译:抓握一直被认为是网络物理系统的关键领域,可以实现动作物理相互作用。本文提出了对旨在为食品行业的最先进的机器人软物体抓握解决方案提供了系统审查,专注于红肉处理。提供关于当前使用的夹具的分类分析,可以使用或适应机器人肉类加工。本文也为低有效载荷应用争取各种解决方案和抓握原理,尽管强调是经典的形状锁定和力锁定夹具,可能能够抓住和操纵重度标本。科学文献调查的目的主要是识别出色和/或显着的夹具设计,或完全新的抓握概念,而专利研究呈现完整的市售解决方案。

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