Sharing the control of a robotic system with an autonomous controller allows a human to
reduce his/her cognitive and physical workload during the execution of a task. In recent …

Collaborative robots (cobots) have been increasingly adopted in industries to facilitate
human–robot collaboration. Despite this, it is challenging to program cobots for collaborative …

Abstract Human–Robot Interaction challenges Artificial Intelligence in many regards:
dynamic, partially unknown environments that were not originally designed for robots; a …

Shared expectations and mutual understanding are critical facets of teamwork. Achieving
these in human-robot collaborative contexts can be especially challenging, as humans and …

Large Language Models (LLMs) have shown exceptional generative abilities in various
natural language and generation tasks. However, possible anthropomorphization and …

Building conversational agents that can conduct natural and prolonged conversations has
been a major technical and design challenge, especially for community-facing …

People increasingly interact with autonomous agents. This paper introduces and formalizes
the problem of automatically generating a summary of an agent's behavior with the goal of …

To effectively collaborate with people, robots are expected to detect and profile the users
they are interacting with, but also to modify and adapt their behavior according to the …

As robots become more and more capable and autonomous, there is an increasing need for
humans to understand what the robots do and think. In this paper, we investigate what such …

A hallmark property of explainable AI models is the ability to teach other agents,
communicating knowledge of how to perform a task. While Large Language Models perform …