摘要
随着机器人应用技术的发展,服务机器人走进人们的生活日渐成为可能.但机器人本身计算能力有限,同时仅靠自身的传感器接收的信息也有一定的局限性.现有的机器人还不足以胜任面对复杂场景的应对能力,也不能够满足人们对服务机器人的期待.本文设计的云机器人计算框架(cloud robot computing framework,CRCF)通过云端,将智能家居以及其他智能硬件与机器人相结合,为机器人提供更多更广的信息.同时,CRCF通过互联网结合了其它第三方的云端应用API,为机器人提供更多的服务功能.CRCF框架旨在利用云端的大数据处理能力提升机器人的计算和存储能力,并结合第三方云端应用服务和智能硬件设备来拓展机器人的信息来源和服务功能.最后,本文通过远程语音控制机器人的实验,验证了CRCF系统平台在结合硬件设备以及第三方云端应用的功能和性能.
With the development of robotic applications, service robots get into people＇s lives. But the robots themselves have limited computing capability, especially in processing the complex information received from different sensors. Thus it is not enough for a single robot to be competent to deal with the complex scenes. This paper proposes a cloud robot computing framework（CRCF）, which combines the smart home facilities nearby and powerful hardware servers in the clouds. CRCF system platform is designed to take advantage of cloud＇s computing large data capability to extend the computing power and storage capacity of the robot. At the same time, CRCF system combines with third-party services and hardware to extend the sources of information and service functions of robots. Finally, through a remote control robot experiment, it verifies the CRCF system platform＇s capabilities and performance in combination with intelligent hardware and third-party cloud applications.
出处
《计算机系统应用》
2016年第9期85-91,共7页
Computer Systems & Applications
基金
中国科学院先导专项(XDA06010600)
