Anita: Intelligent Humanoid Robot with Self-Learning Capability Using Indonesian Language

Vincent Andreas, A. A. Gunawan, W. Budiharto
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引用次数: 6

Abstract

Research and development on Intelligent humanoid robot for general purpose focuses on speech recognition systems to be able to interact with people naturally. In this research, we would like to propose humanoid robot with the self-learning capability based on Indonesian language and small vocabularies for accepting and giving response from people based on Natural Language Processing (NLP). This kind of robot can be used widely in schools, universities and public services. The humanoid robot should consider the style of questions and conclude the answer through conversation under unreliable automatic speech in noisy environment. In our scenario, robot will detect user’s face and accept commands from the user to do an action, where the answer from user will be processed to the Google Translator and the result will be compared with vocabularies defined on the system. We describe how this formulation establish a promising framework by empirical results using subjects randomly. The comparative experiments with samples from user were presented.
安妮塔:具有印尼语自主学习能力的智能人形机器人
通用型智能人形机器人的研究与发展重点是语音识别系统,使其能够与人自然互动。在本研究中,我们想提出一种基于自然语言处理(NLP)的具有基于印尼语和小词汇量的自学习能力的人形机器人,用于接受和回应人类。这种机器人可以在学校、大学和公共服务中广泛使用。仿人机器人在嘈杂环境下,在不可靠的自动语音下,应考虑问题的风格,并通过对话得出答案。在我们的场景中,机器人将检测用户的面部并接受用户的命令进行操作,用户的回答将被处理到Google Translator,结果将与系统上定义的词汇表进行比较。我们描述了这个公式如何建立一个有希望的框架,通过随机使用受试者的实证结果。并与用户样品进行了对比实验。
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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