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Gaze plays an important role in everyday communication between humans. Eyes are not only used to perceive information during interaction, but also to control it. Humanoid robots on the other hand are not yet very proficient in understanding and using gaze. In our study we enabled two humanoid robots to perceive and exert gaze actions. We then performed a pilot experiment with the two android robots...
Robots are at the position to become our everyday companions in the near future. Still, many hurdles need to be cleared to achieve this goal. One of them is the fact that robots are still not able to perceive some important communication cues naturally used by humans, e.g. gaze. In the recent past, eye gaze in robot perception was substituted by its proxy, head orientation. Such an approach is still...
Humans use eye gaze in their daily interaction with other humans. Humanoid robots, on the other hand, have not yet taken full advantage of this form of implicit communication. In this paper we present a passive monocular gaze tracking system implemented on the iCub humanoid robot. The validation of the system proved that it is a viable low-cost, calibration-free gaze tracking solution for humanoid...
It is generally accepted that a robot should exhibit a contingent behavior, adaptable to the needs of each individual user, to achieve a more natural and pleasant interaction. In this paper we have evaluated whether this general rule applies also when the robot plays a leading role and needs to motivate the human partner to keep a certain pace, as during training or teaching. Also among humans, in...
Passing an object to someone else is one of the simplest collaborative actions. However, it entails a high degree of coordination between the two partners. The efficiency of the result relies heavily on the non-verbal communication associated to the passer's motion. The kinematic properties of the movement convey to the receiver implicit information about when, where and what is going to be passed...
Humans develop already from the first years of life the ability to understand the actions and intentions of others and naturally use this skill to help others [1]. It would be important for the future of human-robot collaboration if children could easily generalize this understanding to robotic agents. In this paper we have investigated whether this is possible, at least in the context of inferring...
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