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Smart sensor networks for robotic sensor skins

机译:用于机器人传感器皮肤的智能传感器网络

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摘要

Data acquisition and data fusion of large numbers of sensors present unique challenges for control systems designers and applications engineers alike. In recent years the sensors industry has been moving towards the use of smart sensors, fieldbus networks, and localized smart processes. Merritt Systems Inc. of Rockledge, Florida, has been in the forefront of these developments since 1987 when it started pursuing the development of large sensor networks for robotic obstacle avoidance. As a result of this work a number of unique smart sensors and network technologies have been developed which have a wide range of applications beyond robotics. These include: one of industry's first smart sensors, smart sensor networks, PC-based data acquisition and control systems, and novel robotic modelling and motion planning algorithms. Whenever large networks of sensors with mixed sensing media are used, this technology has far-reaching applications to industry and the research community.
机译:大量传感器的数据采集和数据融合给控制系统设计人员和应用工程师带来了独特的挑战。近年来,传感器行业已朝着使用智能传感器,现场总线网络和本地化智能过程的方向发展。自1987年以来,位于佛罗里达州Rockledge的Merritt Systems Inc.就一直在这些开发工作中处于领先地位,当时该公司开始致力于开发大型传感器网络来避免机器人避障。这项工作的结果是,开发了许多独特的智能传感器和网络技术,它们具有除机器人技术之外的广泛应用。其中包括:业界首批智能传感器之一,智能传感器网络,基于PC的数据采集和控制系统,以及新颖的机器人建模和运动计划算法。每当使用带有混合感测介质的大型传感器网络时,该技术对工业界和研究界都有深远的应用。

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