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A Hug Behavior Generation Model Based on Analyses of Human Behaviors for Hug Robot System

机译:基于人类行为分析的拥抱机器人系统拥抱行为生成模型

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In human face-to-face communication, embodied sharing using the synchrony of embodied rhythms is promoted by embodied interactions. In particular, embodied interactions with direct contact are considered to synchronize embodied rhythms effectively. Hug behavior is one of the types of embodied interactions that involve direct contact. In hug behaviors, humans whole-body contact with each other. In the case of interaction between a human and a robot, the robot synchronizes embodied rhythms effectively using hug behaviors. Thus, a behavior model that can generate a hug behavior with humans is required for robots. Therefore, in this paper, we analyzed hug behaviors between humans and proposed a hug behavior generation model for a hug robot system based in the results of the analysis. This model generates a hug behavior in response to human behavior when a human requests a hug from the robot. Next, we developed a hug robot system that uses the proposed hug behavior generation model. Using the robot system, we demonstrated the effectiveness of the proposed hug behavior generation model by means of a sensory evaluation.
机译:在人类面对面的交流中,通过体现的互动促进了使用体现节奏的同步进行体现共享。尤其是,直接接触的体现互动被认为可以有效地同步体现节奏。拥抱行为是涉及直接接触的具体互动类型之一。在拥抱行为中,人与人之间相互接触。在人与机器人之间进行交互的情况下,机器人会使用拥抱行为有效地同步体现的节奏。因此,机器人需要能够与人产生拥抱行为的行为模型。因此,在本文中,我们分析了人与人之间的拥抱行为,并根据分析结果提出了拥抱机器人系统的拥抱行为生成模型。当人类向机器人请求拥抱时,此模型会响应人类行为生成拥抱行为。接下来,我们使用所提出的拥抱行为生成模型开发了一个拥抱机器人系统。使用机器人系统,我们通过感官评估证明了所提出的拥抱行为生成模型的有效性。

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