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How many languages does Sophia the robot speak? 

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In reality, this assumption is often inaccurate: there will always be situations where the person might care about aspects of the task that the robot does not know about.
The solution captures a key reciprocity relation: the human will not plan her actions in isolation, but rather reason pedagogically about how the robot might learn from them; the robot, in turn, can anticipate this and interpret the human's actions pragmatically.
The results show that the robot was able to play the game in a manner similar to how a human plays the game.
In this paper, we propose a novel method for a robot to detect robot-directed speech, that is, to distinguish speech that users speak to a robot from speech that users speak to other people or to themselves.
However, it remains an open question how to build a common ground between natural language and goal-directed robot actions, particularly in a way that scales with the growth of robot capabilities.
We also show empirically how controllable and expressive the presentation is by means of the humanoid robot.
There are definite signs that the name ’Sophia’ is beginning to function as
In particular, it was revealed that young children who could not communicate well with speakers of different languages over conventional video conference services could establish and maintain communication using the telepresence robot system developed by this project.
The pilot study we conducted does not only provide strong evidence for this suitability, but also reveals benefits of comparative studies on a real robot in general
If treated with care the multilingual will tell us much, even though he may speak in many tongues.
This may indicate that in human-robot interaction indirect language may not function similarly as it does in human communication.
If we focused exclusively on manual communication, Sophia would not learn to listen or to speak, and any later efforts she might make would be fraught with difficulties in comprehending and producing sound.
The former approach is suitable for future and present generation robots with a language processor installed in their controllers, whilst the latter is only specifically linked to earlier generation robot languages.
First, the plugin supports cross-compiling against the real robot platform, removing the need to translate algorithms across different languages.
We found several strong aspects of support for CASA: the robot that provides even minimal social cues (speech) is more engaging than a robot that does nothing, and the more human-like the robot behaved during story-telling, the more social engagement was observed.
The experimental results show that the proposed solution can be easily extended to other languages for a robust Spoken Language Understanding in Human-Robot Interaction.
Yet, with aids and speech work, Sophia would be alienated from those in the Deaf community who frown on attempts to "assimilate" into oral culture and view such attempts as a tacit admission that the inability to hear and speak is a disability to be overcome.
This study provides new information about how speakers of these languages differ in their descriptions of the same scenes and how explicit mention of roles and other scene elements vary with the properties of the scenes themselves.

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