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首页> 外文期刊>Journal of Computation & Modeling >Fuzzy Inference System towards Risk Assessment of Personal Care Robots
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Fuzzy Inference System towards Risk Assessment of Personal Care Robots

机译:个人护理机器人风险评估的模糊推理系统

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Direct human robot interaction and cooperation in uncertain environment is recently expanding robotics research and challenging safety engineers by involving consumer product applications with high degree of autonomy, mobility and flexibility. Assessing the standardization’s requirements associated especially for Personal Care- Mobile servant (PCMS) robots is an open research question since safety standards are not available, except for ISO 13482. The objective of this study is the risk assessment on the base of ISO 13482 concerning the safety requirements established for PCMS robots using a Fuzzy Inference System (FIS). This paper is a brief and easily understood overview of PCMS robots, of ISO organisation and fundamental constraints that had already been established in ISO 13482. The challenging endeavour is the defuzzification of safety constraints applying special computer software as MATLAB in order to quantify the results of risk assessment and to achieve the overall hierarchy of the requirements.
机译:在不确定的环境中,直接的人类机器人交互和合作正在通过涉及具有高度自治性,移动性和灵活性的消费类产品应用程序来扩展机器人技术研究并挑战安全工程师。由于除ISO 13482之外尚无其他安全标准,因此评估与个人护理相关的标准化要求(尤其是个人护理移动机器人(PCMS)机器人)是一个开放的研究问题。本研究的目的是基于ISO 13482的风险评估。使用模糊推理系统(FIS)为PCMS机器人建立了安全要求。本文是对PCMS机器人,ISO组织和已经在ISO 13482中建立的基本约束的简要且易于理解的概述。具有挑战性的工作是使用特殊的计算机软件(如MATLAB)对安全约束进行反模糊化处理,以量化结果。进行风险评估并达到要求的整体层次。

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