脑电波分类系统和移动机器人之间的远程通信接口

Iván Juarez-Moreno, Luis Marín-Urias, J. A. Vazquez-Santacruz, Marco Vigueras-Zúñiga
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引用次数: 1

摘要

机器人的远程操作使人类能够到达水深超过20米、火山、矿山附近等难以接近的地方。等。今天,这个动作是通过物理电子控制来完成的,比如杠杆,然而,由于操作的复杂性,控制这些设备需要人类进行大量的训练。为了以更自然的方式远程操作机器人,提出了开发分类器脑波系统的想法,该系统基于统计数据,发送生成的人类运动指令意图,从而旨在提供一种方法来控制机器人在不同的和更容易理解的运动,而无需操作员环境的太多训练。所提出的工作提出了一个完整的框架,使用分类器脑电波对移动机器人进行远程控制,获得运动命令;这是通过免费技术实现的,使其成为一个强大、可靠和未来的工具,可供那些需要它的人使用。
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Interface de comunicación remota entre un sistema clasificador de ondas cerebrales y un robot móvil
Teleoperation of robots allows humans to reach inaccessible places such as water depths greater than 20 m., near volcanoes, mines. Etc. Today this action is carried out by physical electronic controls, such as levers, however much training is needed by humans to control these devices due to the complexity of operation. To teleoperate robots in a more natural way arises the idea of developing a classifier brainwave system, based on statistical data, send generated commands intentions of human movement, thus is intended to provide a way to control the movements robots in different and more understandable without much training by the operator environments. The work presented proposes an entire framework to carry out a remote control of a mobile robot using a classifier brainwave, obtaining movement commands; this is done through free technologies making it a robust, reliable and future tool available to those who require it.
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