With the aim of fluency and efficiency in human-robot teams, we have developed a cognitive architecture based on the neuro-psychological principles of anticipation and perceptual ...
We introduce the foundation of a system modeling environment targeted at capturing the anticipated interactions of hardware and software behaviors -- not just their co-execution. ...
Neal K. Tibrewala, JoAnn M. Paul, Donald E. Thomas
Abstract—We describe and analyze emergent behavior and its effect for a class of preypredators’ simulation models. The simulation uses rule-based agent behavior and follows a p...
Seongdong Kim, Christoph Hoffmann, Varun Ramachand...
In order for robotic systems to be successful in domains with other agents possibly interfering with the accomplishing of goals, the agents must be able to adapt to the opponents...
This paper addresses the problem of activity recognition for physically-embodied agent teams. We define team activity recognition as the process of identifying team behaviors from...