首页> 外文会议>10th France-Japan Congress, 8th Europe-Asia Congress on Mechatronics >Stress-inspired dynamic optimisation on working memory for cognitive robot social support systems
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Stress-inspired dynamic optimisation on working memory for cognitive robot social support systems

机译:认知机器人社交支持系统的工作记忆应力启发式动态优化

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Robot social support systems such as robot partner's game interactions with elderly people are very important in ageing societies. Human-robot interaction can decrease the risk of ageing disease such as dementia and thus improve the overall quality of life for the elderly people. However, in order for the robot partner to have successful game interactions with the elderly people, the robot partners need to be equipped with a certain degree of cognitive intelligence to guess the meaning and context of game interactions. In this paper, we discuss a biological stress-inspired model for the robot's cognitive intelligence with dynamic optimisation on its working memory. We name this novel robot's cognitive framework as Advanced Intelligence Cognitive Optimisation (AICO). AICO is a server framework for computational intensive cognitive processing for the smart phone robot known as iPhonoid. We have conducted physical robot experiments with our proposed iPhonoid AICO framework on Rényi-Ulam guessing game with real human subjects. The experimental results show that the proposed AICO framework successfully increased the robot's guessing performance in the game interactions. At the same time, the robot behaves according to its emotional conditions to make the game play interesting for the elderly people.
机译:机器人社会支持系统(例如,机器人伴侣与老年人的游戏互动)在老龄化社会中非常重要。人机交互可以降低老年痴呆症等疾病的风险,从而改善老年人的整体生活质量。但是,为了使机器人伙伴能够与老年人成功地进行游戏交互,机器人伙伴需要具备一定程度的认知智能,以猜测游戏交互的含义和上下文。在本文中,我们讨论了一种针对机器人认知智能的生物应力启发模型,并对其工作记忆进行了动态优化。我们将这种新型机器人的认知框架命名为高级智能认知优化(AICO)。 AICO是用于称为iPhonoid的智能手机机器人进行计算密集型认知处理的服务器框架。我们已经使用拟议的iPhonoid AICO框架在具有真实人类对象的Rény-Ulam猜谜游戏中进行了物理机器人实验。实验结果表明,提出的AICO框架成功提高了机器人在游戏交互中的猜测性能。同时,机器人会根据其情绪状况进行操作,从而使老年人玩起来有趣。

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