This paper presents a novel planning framework, called PLATINUm that advances the state
of the art with the ability of dealing with temporal uncertainty both at planning and plan …

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

This paper describes how explicit resource reasoning is added within an existing temporal
planning framework that uses timelines as plan representation. The work is grounded on a …

We present a general constraint-based encoding for domain-independent task planning.
Task planning is characterized by causal relationships expressed as conditions and effects …

Smart factories are on the verge of becoming the new industrial paradigm, wherein
optimization permeates all aspects of production, from concept generation to sales. To fully …

A new framework is proposed to analyze the brittleness of task networks with respect to an
arbitrary set of user-specified properties, such as dynamic controllability or minimum battery …

In this paper we study the computational complexity of postoptimizing partially ordered
plans, ie, we investigate the problem that is concerned with detecting and deleting …

Robotics is an interdisciplinary research field leveraging on control theory, mechanical
engineering, electronic engineering and computer science. It aims at designing machines …

State machines and a relational database may look like completely unrelated tools, yet they
form an interesting couple. By supporting them with well-established architectural patterns …

Due to increased demands related to flexible product configurations, frequent order
changes, and tight delivery windows, there is a need for flexible production using AI …