Analysis of sound source localization and tracking for the @home service robot in multiple distances

T. S. B. Meyer, Plinio Thomaz Aquino-Junior
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Abstract

Robots have been used in several areas, and in many of them it is common to see an interaction between a human and the robot. Human-Robot Interaction (HRI) became a crucial part on the process of understanding and creating machines, which will communicate using voice as the main factor. Speech is used as an input and an output of the communication between machines and humans, in the way that commands and answers are performed using this method. There are several Sound Source Localization and Tracking (SSLT) methods that may be used in an ambiance and many systems can be used to complete this task. To succeed in the usage of this knowledge source, establishing an appropriate system, which allows doing the calculus and implementation in a service robot, is necessary and, using the past work of the author, it was concluded. The main objective of this paper is to introduce some of the available methods for SSLT in the literature, and present results of the implementation and implantation of methods for a Domestic Service Robot, with the objective of having a more natural interaction with humans, allowing to interact the human facing front, instead of facing any direction.
多距离@home服务机器人声源定位与跟踪分析
机器人已经在许多领域得到了应用,在许多领域中,人类和机器人之间的互动是很常见的。人机交互(Human-Robot Interaction, HRI)是人类理解和创造机器过程中至关重要的一部分,其中以语音为主要因素进行交流。语音被用作机器和人类之间交流的输入和输出,以使用该方法执行命令和回答的方式。有几种声源定位和跟踪(SSLT)方法可用于环境中,许多系统可用于完成此任务。为了成功地利用这一知识来源,有必要建立一个合适的系统,使其能够在服务机器人中进行计算和实现,并结合作者过去的工作得出结论。本文的主要目的是介绍文献中一些可用的SSLT方法,并介绍在家庭服务机器人中实施和植入方法的结果,目的是与人类进行更自然的交互,允许与人类进行交互,而不是面向任何方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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