Humans and animals have the ability to continually acquire, fine-tune, and transfer
knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is …

Artificial autonomous agents and robots interacting in complex environments are required to
continually acquire and fine-tune knowledge over sustained periods of time. The ability to …

Selective attention plays an essential role in information acquisition and utilization from the
environment. In the past 50 years, research on selective attention has been a central topic in …

Sound is one of the most informative and abundant modalities in the real world while being
robust to sense without contacts by small and cheap sensors that can be placed on mobile …

To enhance human-robot social interaction, it is essential for robots to process multiple
social cues in a complex real-world environment. However, incongruency of input …

The robust recognition and assessment of human actions are crucial in human-robot
interaction (HRI) domains. While state-of-the-art models of action perception show …

Multimodal integration is an important process in perceptual decision-making. In humans,
this process has often been shown to be statistically optimal, or near optimal: sensory …

The efficient integration of multisensory observations is a key property of the brain that yields
the robust interaction with the environment. However, artificial multisensory perception …

Cognitive modeling is the creation of models of human behavior that can also be used to
inform the development of intelligent robots. A common cognitive modeling task is saliency …

To enhance human-robot social interaction, it is essential for robots to process multiple
social cues in a complex real-world environment. However, incongruency of input …