We study distributed planning for multi-robot systems to provide optimal service to
cooperative tasks that are distributed over space and time. Each task requires service by …

We investigate the distributed planning of robot trajectories for optimal execution of
cooperative tasks with time windows. In this setting, each task has a value and is completed …

In this paper, we address the problem of distributed path planning for large teams of
hundreds of robots in constrained environments. We introduce two distributed prioritized …

Planning efficient and coordinated policies for a team of robots is a computationally
demanding problem, especially when the system faces uncertainty in the outcome or …

It is challenging to coordinately allocate and plan the tasks of a heterogeneous multi-agent
system in a shared workspace. It can be even more challenging if the agents are subject to …

We consider in this paper a multi-robot planning system where robots realize a common
mission with the following characteristics: the mission is an acyclic graph of tasks with …

This paper focuses on the problem of patrolling an environment with a team of autonomous
agents. Given a set of strategically important locations (viewpoints) with different priorities …

Trajectory planning for multiple robots in shared environments is a challenging problem
especially when there is limited communication available or no central entity. In this article …

This paper presents a probabilistic framework for synthesizing control policies for general
multi-robot systems that is based on decentralized partially observable Markov decision …

Recent advances in sensing, communication, and computing technologies have enabled
the use of multirobot systems for practical applications such as surveillance, area mapping …