Abstract Multi-Agent Planning deals with the task of generating a plan for/by a set of agents
that jointly solve a planning problem. One of the biggest challenges is how to handle …

Multi-agent planning is a fundamental problem in multi-agent systems that has acquired a
variety of meanings in the relative literature. In this paper we focus on a setting where …

In this paper we address the problem of post-processing position constrained plans, output
by many of the recent efficient metric temporal planners, to improve their execution flexibility …

Planning is a fundamental issue in multi-agent systems. In this work we focus on the
coordination of multiple agents in two different settings. In the first, agents are able to attain …

Coordination can be required whenever multiple agents plan to achieve their individual
goals independently, but might mutually benefit by coordinating their plans to avoid working …

Recently, casting planning as propositional satisfiability has been shown to be a very
promising technique for plan synthesis. Although encodings based both on statespace …

Many real-world robotic scenarios require performing task planning to decide courses of
actions to be executed by (possibly heterogeneous) robots. A classical centralized planning …

In this paper, we present an approach to coordinate two temporal plans, where one plan is
for the achievement of a reactive goal, and thus has more priority, while the other is for the …

Local search-based methods of SAT solving have received a significant attention in the last
decade. All local search-based methods choose the next truth assignment by flipping the …

Multi-agent planning is a core issue in the multi-agent systems field. In this work we focus on
the coordination of multiple agents in a setting where agents are able to achieve individual …