Most research into applying AI techniques to real-time control problems has limited the
power of AI methods or embedded reactivity in an AI system. An alternative, cooperative …

The research agendas of artificial intelligence and real-time systems are converging as AI
methods move toward domains that require real-time responses, and real-time systems …

Research on planning for robots is in such a state of flux that there is disagreement about
what planning is and whether it is necessary. We can take planning to be the optimization …

It is the goal of several sciences to construct models of behavior and cognition. Two
fundamental questions for all such endeavors are: What mechanisms are required to …

As intelligent, autonomous systems are embedded in critical real-world environments, it
becomes increasingly important to rigorously characterize how these systems will perform …

Reactive plans are plans that include steps for sensing the world and coping with the data
so obtained. We investigate the application of AI planning techniques to plans of this sort in …

The problem of constructing a plan representation that can deal with the complexity of
representing and analyzing robot behavior in uncertain and dynamic environments is …

This paper presents a new framework for autonomous agents that is based on the concept of
anticipatory systems. It is a hybrid approach that synthesizes low-level reactive behavior and …

A robot system operating in an environment in which there is uncertainty and change needs
to integrate the ability to react with the ability to plan ahead. In this paper, we present a novel …

We propose an architecture for reactive planning of contents in instruction. It is based on a
framework for reactive planning which integrates opportunistic reactions with plan-based …