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Towards Supervised Autonomy in Cloud Social Robotics

机译:在云社会机器人中监督自主权

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Considering the developments in robotics, the definition of the notion "robot" can change over time. Information technologies (hereinafter IT), more particularly cloud computing, had a great impact on social robotics. Socially assistive robotics (hereinafter SAR) has many aspects, but the major one is human-robot interaction (hereinafter HRI), where the 'H' stands for user studies that means the human perspective; the 'R' represents the technological and other characteristics of the robot. Gaining insights into the 'I' (the nature of interaction between humans and robots) is possible only by investigating both 'H' and 'R'. Considering this, we can formulate the key challenge of HRI as follows [1]:"HRI is the science of studying people's behavior and attitudes towards robots in relationship to the physical, technological and interactive features of the robots, with the goal to develop robots that facilitate the emergence of human-robot interaction that are at the same time efficient (according to the original requirements of their envisaged area of use), but are also acceptable to people, and meet the social and emotional needs of their individual users as well as respecting human values".
机译:考虑到机器人的发展,“机器人”的定义可以随时间变化。信息技术(以下简称),更具体地云计算,对社会机器人产生了很大影响。社会辅助机器人(以下简称SAR)具有许多方面,但主要是人机交互(下文中的HRI),其中'H'代表用户研究,这意味着人类的观点; “r”代表了机器人的技术和其他特征。只有通过调查'H'和'R',才能获得“I”(人和机器人之间的相互作用的性质)的洞察力。考虑到这一点,我们可以制定HRI的关键挑战,如下所示[1]:“HRI是学习人民行为的科学,并在与机器人的物理,技术和互动特征的关系中朝着机器人的关系,目标是开发机器人这促进了同时效率的人机互动的出现(根据他们设想的使用领域的原始要求),但人们也可以接受,并满足他们个人用户的社会和情感需求尊重人类价值观“。

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