Humans are increasingly relying on complex systems that heavily adopts Artificial
Intelligence (AI) techniques. Such systems are employed in a growing number of domains …

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 …

Communication is critical to collaboration; however, too much of it can degrade
performance. Motivated by the need for effective use of a robot's communication modalities …

In this article, we present a planning framework that uses a combination of implicit (robot
motion) and explicit (visual/audio/haptic feedback) communication during mobile robot …

Mobile robots struggle to integrate seamlessly in crowded environments such as pedestrian
scenes, often disrupting human activity. One obstacle preventing their smooth integration is …

As assistive robotics has expanded to many task domains, comparing assistive strategies
among the varieties of research becomes increasingly difficult. To begin to unify the …

For robots to effectively collaborate with humans, it is critical to establish a shared mental
model amongst teammates. In the case of incongruous models, catastrophic failures may …

State-of-the-art social robot navigation algorithms often lack a thorough experimental
validation in human environments: simulated evaluations are often conducted under …

Human-AI teaming refers to systems in which humans and artificial intelligence (AI) agents
collaborate to provide significant mission performance improvements over that which …

Research on human-robot collaboration or human-robot teaming, has focused
predominantly on understanding and enabling collaboration between a single robot and a …