Much research in artificial intelligence is concerned with the development of autonomous
agents that can interact effectively with other agents. An important aspect of such agents is …

Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …

Solar cells based on organic–inorganic hybrid perovskite materials have emerged as the
most efficient next-generation thin-film solar cells within just a decade of research and show …

People routinely infer the goals of others by observing their actions over time. Remarkably,
we can do so even when those actions lead to failure, enabling us to assist others when we …

Recognizing the actions, plans, and goals of a person in an unconstrained environment is a
key feature that future robotic systems will need in order to achieve a natural human …

Automated planning can be used to efficiently recognize goals and plans from partial or full
observed action sequences. In this paper, we propose goal recognition heuristics that rely …

This paper presents FAMA, a novel approach for learning Strips action models from
observations of plan executions that compiles the learning task into a classical planning …

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Temporal logics are useful for providing concise descriptions of system behavior, and have …

Recognizing goals and plans from complete or partial observations can be efficiently
achieved through automated planning techniques. In many applications, it is important to …

The objective of goal recognition is to infer a goal that accounts for the observed behavior of
an actor. In this work, we introduce and formalize the notion of active goal recognition in …