In our targeted scenario, humans can flexibly establish joint object reference with a robot entirely on the basis of their own intuitions. To reach this aim, the robot needs to be equipped with the kind of knowledge that can be matched in a cognitively adequate way to users’ intuitive conceptual and linguistic preferences. Such an endeavour requires knowledge about human spatial object referenc...

As robots evolve into an integral part of the human ecosystem, humans and robots are getting involved in a multitude of collaborative tasks that require complex coordination and cooperation. Indeed there has been extensive work in the robotics, planning as well as the human-robot interaction communities to understand and facilitate such seamless teaming. However, it has been argued that their i...

There are different forms of human-robot interactions, allowing a team of humans and robots to take advantage of skills of each team member. A relatively new area of research considers interactions between human and a team of robots, called a swarm of robots. This paper discusses possible forms of interactions in swarm robotics within the Guardians project. The paper particularly addresses the ...

Multimodality for interaction tends to be considered as use of di erent physical communication channels for face-to-face interaction. But our usual communication is indeed more exible, e.g., communication to others at a distance, communication to someone who can reply, and communication with a group of people together. We categorize intimate, loose, and cooperative interaction as extended multi...

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Natural human-like human-robot interaction (NHL-HRI) requires the robot to be skilled both at recognizing and producing many subtle human behaviors, often taken for granted by humans. We suggest a rough division of these requirements for NHL-HRI into three classes of properties: (1) social behaviors, (2) goal-oriented cognition, and (3) robust intelligence, and present the novel DIARC architect...

This paper proposes an interaction learning method for collaborative and assistive robots based on movement primitives. The method allows for both action recognition and human-robot movement coordination. It uses imitation learning to construct a mixture model of human-robot interaction primitives. This probabilistic model allows the assistive trajectory of the robot to be inferred from human o...

More and more, robots are expected to interact with humans in a social, easily understandable manner, which presupposes effective use of robot affect. This chapter provides a brief overview of research advances into this important aspect of human-robot interaction. Keywords: human-robot interaction, affective robotics, robot behavior I. Introduction and Motivation Humans possess an amazin...