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Human-robot interaction with multi-human social pattern inference on a multi-modal robot

机译:在多模态机器人上与多人社会模式推断的人体机器人相互作用

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To enable service robots enter a multi-human office environment, it is important to find a group of human users' social patterns and then to provide a proper service to them in time. Usually, human users' social patterns are represented in terms of nonverbal social signals. In this paper, some nonverbal social signals are fast detected in social environments. Then, robot can find the spatial social patterns of human users. Those patterns are indicated to human-to-human, human-to-robot or multi-human-to-robot interaction. Experimental results shows that our robot successfully find the aforementioned users' social patterns.
机译:为了使服务机器人进入多人办公环境,重要的是找到一组人类用户的社交模式,然后能够及时向他们提供适当的服务。通常,人类用户的社会模式在非语言社会信号方面代表。在本文中,在社会环境中检测到一些非语言社交信号。然后,机器人可以找到人类用户的空间社交模式。这些模式被指示为人对人,人对机器人或多人对机器人相互作用。实验结果表明,我们的机器人成功地找到了上述用户的社会模式。

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