Temporal planning offers numerous advantages when based on an expressive
representation. Timelines have been known to provide the required expressiveness but at …

Temporal network formalisms allow us to encode a set of constraints relating distinct events
in time, and by deploying algorithms over these networks, we can determine whether …

The field of AI planning has seen rapid progress over the last decade and planners are now
able to find plan with hundreds of actions in a matter of seconds. Despite those important …

Simple Temporal Networks with Uncertainty provide a useful framework for modeling
temporal constraints and, importantly, for modeling actions with uncertain durations. To …

The proper handling of temporal constraints is crucial in many domains. As a particular
challenge, temporal constraints must be also handled when different specific situations …

In temporal planning, agents must schedule a set of events satisfying a set of predetermined
constraints. These scheduling problems become more difficult when the duration of certain …

In this thesis, we present a theory for constructing real-time executives that can reason about
communication between agents. In multi-agent coordination problems, different agents have …

As space exploration accelerates and the number of robots and humans working in extreme
environments grows with it, we must enact autonomous multi-agent coordination in order to …

Simple Temporal Networks with Uncertainty (STNUs) provide a useful formalism with which
to reason about events and the temporal constraints that apply to them. STNUs are in …

Multi-agent coordination is not a simple problem. While significant research has gone into
computing plans efficiently and managing competing preferences, the execution of …