为废物处理应用建模可指导机器人

L. Tsoukalas, D. Bargiotas
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引用次数: 9

摘要

在集中临时储存设施(CIS)中储存高放射性废物为开发和部署创新机器人技术创造了一个独特而具有挑战性的环境。有限的可及性和资源以及难以预测某些设施组件的行为要求加强人与机器人之间的协作,并提高机器人以近乎语言的方式进行教学的能力。我们提出了一种神经模糊方法来指导机器人在这种环境中工作,并提出了一种协作指导机器人群体的功能架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling instructible robots for waste disposal applications
The storage of high-level radioactive waste in centralized interim storage facilities (CIS) creates a unique and challenging environment for developing and deploying innovative robotic technologies. Limited accessibility and resources as well as difficulties in predicting the behavior of some facility components call for enhanced collaboration between humans and robots and improved capacity for robotic instruction in nearly linguistic terms. We present a neurofuzzy approach for instructing robots operating in such environments and propose a functional architecture for groups of collaborating instructible robots.
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