Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about
plans, most importantly the reasoning that goes into formulating a plan to achieve a given …

Large-scale classical planning problems such as factory as-sembly problems pose a
significant challenge for domain-independent planners. We propose a macro-based planner …

The interest and scope of the area of autonomous systems have been steadily growing in
the last 20 years. Artificial intelligence planning and scheduling is a promising technology …

Many applications require infinite plans---ie an infinite sequence of actions---in order to carry
out some given process indefinitely. In addition, it is desirable to guarantee optimality. In this …

A unique selling point for cyber-physical production system manufacturers becomes the
easy with which machines and cells can be adapted to new products and production …

Parallel best-first search algorithms such as Hash Distributed A*(HDA*) distribute work
among the processes using a global hash function. We analyze the search and …

The use of AI planning beyond demonstration examples has proven to be challenging for
expressive problems with numerous components. This happens primarily because the state …

Intelligent systems are becoming increasingly ubiquitous in daily life. Mobile devices are
providing machine-generated support to users, robots are" coming out of their cages" in …

Discoplan is a durable and efficient system for inferring state constraints (invariants) in
planning domains, specified in the PDDL language. It is exceptional in the range of …

We define Multiphase Project Planning (MPP) as the problem of finding an executable
sequence of sets of actions to achieve all hard subgoals of all milestones, given a fully …