Skilled Agricultural Task Delivery by a Digital Twin

V. Kaburlasos, C. Lytridis, G. Siavalas, Viktoria Nikoleta Tsakalidou, Christos Tsakmakis, Ioannis Kalathas, T. Pachidis, K. Rantos, K. Kalaboukas
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Abstract

Human intelligence is inherently associated with non-numerical data including structures, e.g. the human hand and other. Data semantics are represented here by an order relation in the context of the Lattice Computing (LC) paradigm. A well-defined inclusion measure function on partially (lattice) ordered data is used by a semi-autonomous Cyber-Physical System (CPS) for decision-making based on logic; in particular, an agricultural robot, or agrobot for short, is a CPS proposed for harvesting grapes. The proposed agrobot is driven remotely by a human using a Digital Twin (DT). Preliminary results are outlined, where an agrobot includes a mechanical hand mounted on a robotic arm. Cyber-security issues are also considered.
数字孪生的熟练农业任务交付
人类智能本质上与非数值数据相关,包括结构,例如人的手和其他。数据语义在这里由点阵计算(LC)范例上下文中的顺序关系表示。一个定义良好的部分(格)有序数据的包含度量函数被半自治的信息物理系统(CPS)用于基于逻辑的决策;特别是农业机器人,简称agrobot,是一种用于收获葡萄的CPS。所提出的农业机器人是由人类使用数字双胞胎(DT)远程驱动的。初步结果概述,其中农业机器人包括安装在机械臂上的机械手。网络安全问题也被考虑在内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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