We present an implemented model for speech recognition in natural environments which relies on contextual information about salient entities to prime utterance recognition. The hyp...
The ability to interpret demonstrations from the perspective of the teacher plays a critical role in human learning. Robotic systems that aim to learn effectively from human teach...
Matt Berlin, Jesse Gray, Andrea Lockerd Thomaz, Cy...
—We propose a novel framework, passive set-position modulation (PSPM), which enables us to connect a (continuoustime) robot’s position to a sequence of slowly-updating/sparse (...
Dynamic adaptive systems are becoming increasingly popular due to their ability to adapt to heterogeneous and changing environments. Such systems must avert adverse feature intera...