Design of the humanoid robot KOBIAN - preliminary analysis of facial and whole body emotion expression capabilities-

Design of the humanoid robot KOBIAN - preliminary analysis of facial and whole body emotion expression capabilities-
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人形机器人KOBIAN的设计-面部及全身情感表达能力初步分析-

DOI:
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发表时间:
2008
期刊:
IEEE-RAS International Conference on Humanoid Robots
影响因子:
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通讯作者:
A. Takanishi
A. Takanishi
中科院分区:
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文献类型:
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作者:
M. Zecca;N. Endo;S. Momoki;K. Itoh;A. Takanishi

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预计基于个人机器人和机器人技术(RT)的辅助设备将在以老年人为主的社会中发挥重要作用,积极参与与人类的联合工作和社区生活,作为我们的合作伙伴和朋友。特别是,预计这些机器人将在老年人和残疾人的日常生活活动(ADL)中帮助和协助他们。为了达到这一效果,个人机器人应该能够像人类一样表达情感;另外,对于应该活跃在人类生活环境中的机器人来说,模仿人类的两足行走是最好的解决方案。虽然最近几年已经开发了几个两足机器人和几个情感表达机器人,但到目前为止还没有一个机器人集所有这些功能于一身。因此,我们开发了一种新型的两足步行机器人,命名为KOBIAN,它也能够表达类似人类的情感。本文介绍了新型情感表达头的设计和初步评价。初步结果表明,仅靠头部表达的情感并不能真正被用户轻松理解。然而,全身的存在明显增强了机器人的情感表达能力,从而证明了所提出方法的有效性。
Personal robots and robot technology (RT)-based assistive devices are expected to play a major role in our elderly-dominated society, with an active participation to joint works and community life with humans, as partner and as friends for us. In particular, these robots are expected to be fundamental for helping and assisting elderly and disabled people during their activities of daily living (ADLs). To achieve this result, personal robots should be capable of human-like emotion expressions; in addition, human-like bipedal walking is the best solution for the robots which should be active in the human living environment. Although several bipedal robots and several emotional expression robots have been developed in the recent years, until now there was no robot which integrated all these functions. Therefore we developed a new bipedal walking robot, named KOBIAN, which is also capable to express human-like emotions. In this paper, we present the design and the preliminary evaluation of the new emotional expression head. The preliminary results showed that the emotion expressed by only the head cannot be really easily understood by the users. However, the presence of a full body clearly enhances the emotion expression capability of the robot, thus proving the effectiveness of the proposed approach.