Voice Activation and Control to Improve Human Robot Interactions with IoT Perspectives

Voice Activation and Control to Improve Human Robot Interactions with IoT Perspectives
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从物联网角度改善人机交互的语音激活和控制

DOI:
10.23919/wac.2018.8430412
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发表时间:
2018
期刊:
2018 World Automation Congress (WAC)
影响因子:
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通讯作者:
Mo M. Jamshidi
Mo M. Jamshidi
中科院分区:
--
文献类型:
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作者:
B. Erol;Conor Wallace;P. Benavidez;Mo M. Jamshidi

文献摘要

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由于移动的通信和计算技术的改进,数字语音助理是一种新兴技术。近年来,由于智能/智能家居设备的营销策略,它们变得越来越受欢迎。家庭机器人在社会中广泛存在,以协助人类完成各种任务。智能环境中的大多数应用都依赖于与语音激活和控制密切相关的物联网(IoT)设备,这可以被视为辅助和家庭机器人的基础。人机交互是所有机器人应用中非常重要的练习,从家庭机器人到高度危险的危及生命的工作环境,都是辅助机器人领域的重点。智能家居助手依靠在对话中寻找关键词来处理口头请求,亚马逊Echo和谷歌Home就是最著名的例子。这些关键词触发了预定义的技能,一个控制这个智能系统的计算机程序,以满足用户的要求。该过程的简单结构通过提供口头请求和从设备接收口头反馈在用户和设备之间双向工作。在这项研究中,我们构建并测试了一个系统,一个部署了物联网设备的人形机器人躯干,以控制和模拟辅助机器人工作负载的过程。我们试图改善人机交互的效果,使用交互功能来评估其有效性。
Digital Voice Assistants are an emerging technology due to improvements on mobile communication and computing technologies. They became more popular in recent years, since marketing strategies on intelligent/smart-home devices. Home robotics are widespread their existence in the society to assist humans in various tasks. Majority of the applications on smart environments are relying on Internet of Things (IoT) devices that closely related with voice activation and control, which can be considered as a foundation of assistive and home robotics. Human-robot interaction is very important exercise in all robotic applications from home robotics to highly dangerous life threatening work environments that are on the focus of assistive robotics sector. Smart home assistants are relying on the base of processing verbal requests by looking for key words in the conversation, Amazon Echo and Google Home are the most well-known examples. These key words triggers the predefined skills, a computer program controlling this intelligent system, to fulfill the users requests. A simple structure of the process works both directions, between the user and the device by providing a verbal request and receiving a verbal feedback from the device. In this study, we built and tested a system, a humanoid robot torso deployed with an IoT device, to control and simulate the process of assistive robotic workload. We tried to improve the effects of human robot interactions to close the loop using an interactive functioning for grading its effectiveness.