Planning systems for real-world applications need the ability to handle concurrency and
numeric fluents. Nevertheless, the predominant approach to cope with concurrency followed …

I envision a system that enables successful collaborations between humans and machine
learning models by harnessing the relative strength to accomplish what neither can do …

In this paper we describe COLIN, a forward-chaining heuristic search planner, capable of
reasoning with COntinuous LINear numeric change, in addition to the full temporal …

The mission planning problem has so far been solved by using temporal logic and classic
planning approaches that have an exponential computational complexity and do not always …

This paper focuses on the emergency task planning problem with the following
characteristics: incomplete initial environment information, concurrent execution and …

Planning enables intelligent agents, such as robots, to act so as to achieve their long term
goals. To make the planning process tractable, a relatively low fidelity model of the world is …

One of the original motivations for domain-independent planning was to generate plans that
would then be executed in the environment. However, most existing planners ignore the …

For seamless human–robot cooperation, a robot may need to take several steps proactively
to minimize unnecessary delays between the human's intention and the robot's …

Planning problems in many real-world areas are characterized by the involvement of various
types of resources and complex temporal and functional relationships among numerous …

Narrative time has an important role to play in Interactive Storytelling (IS). The prevailing
approach to controlling narrative time has been to use implicit models that allow only limited …