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Humans can often learn high-level features of a piece of music, such as beats, from only a few seconds of audio. If robots could obtain this information just as rapidly, they would be more capable of musical interaction without needing long lead times to learn the music. The presence of robot ego noise, however, makes accurately analyzing music more difficult. In this paper, we focus on the task of...
This work investigates the potential of a four-class motor-imagery-based brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS). Four motor imagery tasks (right hand, left hand, right foot, and left foot tapping) were executed while motor cortex activity was recorded via fNIRS. Preliminary results from three participants suggest that this could be a viable BCI interface,...
According to the importance as one of the most basic preconditions for autonomy of mobile robots, efforts to provide global localization services continuously without loss have been advanced so far, and with current trends toward indoor service robots, not only outdoor but also indoor global localization is highly demanded. However, none of existing localization systems guarantees seamless and transparent...
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