辐射环境下的实验室机器人

T. Beugelsdijk, D. Knobeloch
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引用次数: 1

摘要

系统,在规定的范围内修改分析程序,以恢复分析能力,从而保持生产力。本文在回顾机器人技术在实验室引入方面的进展的同时,还将说明在本质上超出常规样品制备操作的各种元素的包含,包括分析条件的优化和向驻留专家系统推荐与执行[3]的下一个最佳测试相关的决策。确实,目前99%的机器人安装执行常规任务,这些任务可以很容易地用决策树或流程编程来描述。同样,未来的机器人装置,或者广义地定义为当前机器人系统的质量移动组件,将基于智能基础做出决策,这将涉及几乎控制论或“聪明”的决策基础。将尝试将当前的能力推断为未来的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Laboratory Robotics in Radiation Environments
systems, modify analytical procedures within established limits in order to restore analytical capability and, therefore, maintain productivity [2]. This paper, while reviewing progress in the introduction of robotics in the laboratory, will also illustrate the inclusion of various elements that are beyond the routine sample preparation operation in nature and which includes optimization of analytical conditions and referral to residing experts systems for decisions related to the next best test to perform [3]. It is true that 99% of current robot installations perform routine tasks which could be easily described by decision trees or flow programming. It is also true that robotic installations of the future, or broadly defined as simply the mass-moving component of current robotic systems, will make decisions based on intelligence bases which will involve an almost cybernetic or "clever" decision basis. Attempts to extrapolate current capability into future capability will be made.
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