军种多任务机器人研究

IF 0.8 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS International Journal of Robotics & Automation Pub Date : 2020-01-01 DOI:10.37628/IJRA.V6I2.1171
Ulka P. Ghosalkar, Chetana T. Baviskar, Shweta D. Gaware, Shraddha Panchal
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引用次数: 1

摘要

机器人有多种类型,用于安全、间谍和其他应用。可以通过程序或电子电路引导的虚拟人工代理或机电机器称为robot。为了安全起见,间谍活动,即原始机构和其他一些领域涉及很大的风险,因此这些任务必须由机器人执行。所提出的智能机器人具有摄像头和其他特殊功能,可以远程操作以实现监控目的。机器人将使用Android作为高级遥控器,通过蓝牙与Android手机连接。Android提供了访问广泛的库,可用于构建丰富的应用程序,还包括全套工具,提供高生产力和深入的洞察应用程序。Wi-Fi和蓝牙是射频的开放标准规范技术,直接基于短距离连接,有助于无线通信。通过android智能手机的蓝牙接收到的数据作为输入输入到控制器中,控制器就会做出相应的动作。
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A Study on Multitasking Robot for Military Services
There are multiple types of robot that are used in security, spying and other applications .A virtual artificial agent or electro-mechanical machine which can be guided through a program or electronic circuitry is called as ROBOT. In case for security, spying i.e. raw agency and other some areas involve a great risk and hence those tasks must be performed by robots. The proposed intelligent robot with camera and other special functions can be operated remotely for monitoring and controlling purpose. Android will be used as advance remote controller for the robot which will be connected through Bluetooth with android phone. The Android provide access to wide range of libraries that can be used to build rich applications and also includes full set of tools that provides high productivity and deep insight for the applications. The Wi-Fi and Bluetooth are open standard specification technology for radio frequency which is directly based on short range connectivity that helps in wireless communication. The data which will be received through Bluetooth in android smart phone is given as input to controller and hence controller will act accordingly.
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来源期刊
CiteScore
1.20
自引率
44.40%
发文量
71
审稿时长
8 months
期刊介绍: First published in 1986, the International Journal of Robotics and Automation was one of the inaugural publications in the field of robotics. This journal covers contemporary developments in theory, design, and applications focused on all areas of robotics and automation systems, including new methods of machine learning, pattern recognition, biologically inspired evolutionary algorithms, fuzzy and neural networks in robotics and automation systems, computer vision, autonomous robots, human-robot interaction, microrobotics, medical robotics, mobile robots, biomechantronic systems, autonomous design of robotic systems, sensors, communication, and signal processing.
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