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The Human Speechome Project is an effort to observe and computationally model the longitudinal course of language development for a single child at an unprecedented scale. The idea is this: Instrument a child's home so that nearly everything the child hears and sees from birth to three is recorded. Develop a computational model of language learning that(More)
— Although numerous early attempts towards the use of robotics in conjunction with virtual characters in order to create augmented reality theater and interactive performances have taken place, the state of the art is still in an initial stage on the pathway towards the full exploitation of the technological as well as creative and artistic potentialities(More)
— In this paper, an overview of human-robot interactive communication is presented, covering verbal as well as non-verbal aspects. Following a historical introduction, and motivation towards fluid human-robot communication, ten desiderata are proposed, which provide an organizational axis both of recent as well as of future research on human-robot(More)
People leverage situational context when using language. Rather than convey all information through words, listeners can infer speakers' meanings due to shared common ground [1, 2]. For machines to engage fully in conversation with humans, they must also link words to the world. We present a sensorimotor representation for physically grounding action verbs,(More)
To build robots that engage in fluid face-to-face spoken conversations with people, robots must have ways to connect what they say to what they see. A critical aspect of how language connects to vision is that language encodes points of view. The meaning of my left and your left differs due to an implied shift of visual perspective. The connection of(More)
— Human cognition makes extensive use of visu-alization and imagination. As a first step towards giving a robot similar abilities, we have built a robotic system that uses a perceptually-coupled physical simulator to produce an internal world model of the robot's environment. Real-time perceptual coupling ensures that the model is constantly kept in(More)