Artificial intelligence and robotic technologies have grown in sophistication and reach.
Accordingly, research into mixed human–robot teams that comprise both robots and humans …

Effective collaboration between humans and agents depends on humans maintaining an
appropriate understanding of and calibrated trust in the judgment of their agent counterparts …

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

Learning from Demonstration (LfD) explores techniques for learning a task policy from
examples provided by a human teacher. The field of LfD has grown into an extensive body …

It is natural and efficient to use human natural language (NL) directly to instruct robot task
executions without prior user knowledge of instruction patterns. Currently, NL-instructed …

The team has become a popular model to organize joint human–robot behavior. Robot
teammates are designed with high-levels of autonomy and well-developed coordination …

If robotic companions are to be used in the near future by aging adults, they have to be
accepted by them. In the process of develo** a methodology to measure, predict and …

Advancements in autonomy are beginning to allow humans to partner with machines in
order to accomplish work tasks in various settings. As human–agent teaming (HAT) …

Human-robot collaboration (HRC) is becoming increasingly important as the paradigm of
manufacturing is shifting from mass production to mass customization. The introduction of …

Robotics has traditionally focused on develo** intelligent machines that can manipulate
and interact with objects. The promise of personal robots, however, challenges researchers …