Humans are an essential part of human-robot interaction (HRI), but what roles do they play
in HRI research? Analysis of the role of human subjects in research can serve as an …

Human–robot collaboration is becoming increasingly common in factories around the world;
accordingly, we need to improve the interaction experiences between humans and robots …

For long-term deployment in dynamic real-world environments, assistive robots must
continue to learn and adapt to their environments. Researchers have developed various …

It is anticipated that intelligent robots will gain the ability to learn from humans how to
perform tasks, and will assist them in many contexts such as with household chores in the …

People with severe speech and motor impairment often find it difficult to manipulate physical
objects due to spasticity and have familiarity with eye pointing based communication. This …

The tremendous development in large language models (LLM) has led to a new wave of
innovations and applications and yielded research results that were initially forecast to take …

Robots need to understand words for references in social spaces (eg, objects, locations,
actions). Grounded language learning systems aim to learn these words from observing a …

To be successful, robots that can learn new tasks from humans should interact effectively
with them while being trained, and humans should be able to trust the robots' abilities after …

Preference-based learning aims to align robot task objectives with human values. One of the
most common methods to infer human preferences is by pairwise comparisons of robot task …

How do we perceive robots practising a task that we have taught them? While learning,
human trainees usually provide nonverbal cues that reveal their level of understanding and …