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Semi-Autonomous RC Robot And Brainwave Technology

机译:半自动RC机器人和脑波技术

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The purpose of this work is to develop a new methodology for material handling processes. Material handling can be defined as the basic operation in connection with the movement of bulk, packaged and individual products in a semi-solid or solid-state employing gravity, manual or power actuated equipment and within the limits of individual producing, fabricating, processing or service establishment. So the project aims to develop a tool carrying Remote Control(RC) Robot which is a line following robot. The main elements of material handling are motion, time, quantity and space. Using the tool carrying R C robot various tools can be transported to the operator, thereby reducing the production time. Serial communication is established between all components of the system namely worker, robot and tool store. Fatigue is an important phenomenon in industrial psychology because it creates many problems including stress, weakness, tiredness, exhaustion and of course a decrease in productivity. These can be avoided by continuous monitoring of the mental state of the worker. This can be achieved by using brainwave technology through brain data obtained from Electroencephalogram (EEG) devices. The brain is the center of activity, reading the brainwaves and analyzing them enables this task to be done very efficiently.
机译:这项工作的目的是为物料搬运过程开发一种新的方法。材料处理可以定义为与散装,包装和各个产品的运动相连的基本操作,在采用重力,手动或动力驱动设备的半固态或固态中,以及在各个生产,制造,加工或的限制范围内服务建立。因此,该项目旨在开发一种携带遥控器(RC)机器人的工具,该机器人是机器人之后的线路。材料处理的主要元素是运动,时间,数量和空间。使用携带R C机器人的工具各种工具可以传送到操作员,从而减少生产时间。在系统的所有组件之间建立串行通信即工人,机器人和工具存储。疲劳是职业心理学中的一个重要现象,因为它会产生许多问题,包括压力,弱点,疲倦,疲惫,并且课程的生产率降低。通过持续监测工人的精神状态,可以避免这些。这可以通过通过从脑电图(EEG)器件获得的脑数据使用脑波技术来实现。大脑是活动的中心,阅读脑波和分析它们使得这项任务能够非常有效地完成。

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