Developing autonomous systems that operate successfully in dynamic environments entails
many challenges. Researchers introduce the concept of adjustable autonomy to mitigate …

The increasing use of ever-smarter AI-technology is changing the way individuals and teams
learn and perform their tasks. In hybrid teams, people collaborate with artificially intelligent …

Objective Test the automation transparency design principle using a full-scope nuclear
power plant simulator. Background Automation transparency is a long-held human factors …

Metrics for human-robot teaming should extend to teams consisting of multiple human and
robotic agents, and to teams working in complex, dynamic work domains. This work …

Abstract The European Union (EU) Commission's whitepaper on Artificial Intelligence (AI)
proposes shaping the emerging AI market so that it better reflects common European values …

This article presents a retrospective analysis of Team IHMC's experience throughout the
DARPA Robotics Challenge (DRC), where we took first or second place overall in each of …

When interacting with artificial intelligence (AI) in the medical domain, users frequently face
automated information processing, which can remain opaque to them. For example, users …

Industry 4.0 is pushing forward the need for symbiotic interactions between physical and
virtual entities of production environments to realize increasingly flexible and customizable …

Robots are becoming increasingly prevalent and are already providing assistance in a
variety of activities, ranging from space exploration to domestic housework. Recent …

Abstract Recent research in Human Robot Collaboration (HRC) has spread and specialised
in many sub-fields. Many show considerable advances, but the human–robot collaborative …