Autonomous robots are increasingly served in real-world unstructured human environments
with complex long-horizon tasks, such as restaurant serving and office delivery. Task and …

There has been significant interest of late in generating behavior of agents that is
interpretable to the human (observer) in the loop. However, the work in this area has …

Goal Recognition is the task of inferring an agent's goal, from a set of hypotheses, given a
model of the environment dynamic, and a sequence of observations of such agent's …

As development of robots with the ability to self-assess their proficiency for accomplishing
tasks continues to grow, metrics are needed to evaluate the characteristics and performance …

Designing robots capable of generating interpretable behavior is essential for effective
human-robot collaboration. This requires robots to be able to generate behavior that aligns …

Goal recognition design (GRD) facilitates understanding the goals of acting agents through
the analysis and redesign of goal recognition models, thus offering a solution for assessing …

Multi-Agent Plan Recognition (MAPR) aims to recognize team structures (which are
composed of team plans) from the observed team traces (action sequences) of a set of …

Goal recognition design aims to make limited modifications to decision-making
environments with the goal of making it easier to infer the goals of agents acting within those …

Intention recognition is an important step to facilitate collaboration among multiple agents.
Existing work mainly focuses on intention recognition in a single-agent setting and uses a …

Goal recognition is the task of recognizing the objective of agents based on online
observations of their behavior. Goal recognition design (GRD), the focus of this survey …