In the field of human-robot interaction, the well-known uncanny valley hypothesis proposes
a curvilinear relationship between a robot's degree of human likeness and the observers' …

Swarm systems consist of large numbers of agents that collaborate autonomously. With an
appropriate level of human control, swarm systems could be applied in a variety of contexts …

Robotic platforms that can efficiently collaborate with humans in physical tasks constitute a
major goal in robotics. However, many existing robotic platforms are either designed for …

As robots become more advanced and capable, develo** trust is an important factor of
human-robot interaction and cooperation. However, as multiple environmental and social …

Explainable AI has become an important field of research on neural machine learning
models. However, most existing methods are designed as tools that provide expert users …

Human infants are able to acquire natural language seemingly easily at an early age. Their
language learning seems to occur simultaneously with learning other cognitive functions as …

Long-term human-robot interaction requires the continuous acquisition of knowledge. This
ability is referred to as lifelong learning (LL). LL is a long-standing challenge in machine …

Language acquisition is an integral part of developmental robotics, which aims at
understanding the key components in human development and learning to utilise them in …

As robots become more advanced and capable, develo** trust is an important factor of
human-robot interaction and cooperation. However, as multiple environmental and social …

Human infants learn the language while interacting with their environment in which their
caregivers may describe the objects and actions they perform. Similar to human infants …