In this paper we present a broad overview of the last 40 years of research on cognitive
architectures. To date, the number of existing architectures has reached several hundred …

Research on execution monitoring in its own is still not very common within the field of
robotics and autonomous systems. It is more common that researchers interested in control …

The majority of planning and scheduling research has focused on batch-oriented models of
planning. This paper discusses the use of iterative repair techniques to support a continuous …

There is a strong demand for robots to work in environments, such as aircraft manufacturing,
where they share tasks with humans and must quickly adapt to each other's needs. To do so …

For many years, research in AI plan generation was governed by a number of strong,
simplifying assumptions: The planning agent is omniscient, its actions are deterministic and …

Goal-directed behavior is a hallmark of intelligence. While the majority of artificial
intelligence research assumes goals are static and externally provided, many real-world …

Agent programming languages have often avoided the use of automated (first principles or
hierarchical) planners in favour of predefined plan/recipe libraries for computational …

Recently model checking representation and search techniques were shown to be efficiently
applicable to planning, in particular to non-deterministic planning. Such planning …

Agents in dynamic multi-agent environments must monitor their peers to execute individual
and group plans. A key open question is how much monitoring of other agents' states is …

There is huge demand for robots to work alongside humans in heterogeneous teams. To
achieve a high degree of fluidity, robots must be able to (1) recognize their human co …