Planning under uncertainty faces a scalability problem when considering multi-robot teams,
as the information space scales exponentially with the number of robots. To address this …

We propose novel techniques for task allocation and planning in multi-robot systems
operating in uncertain environments. Task allocation is performed simultaneously with …

In the multiple autonomous robot system, it is very important to complete path planning
coordinately and effectively in the processes of interference avoidance, resource allocation …

Spatial task allocation has many applications in realistic multi-robot systems and has been
studied for several years by many researchers. However, most of the researches conducted …

Network robot systems (NRS) provide many scientific and technological challenges, given
that robots interact with each other as well as with sensors present in the environment to …

In this article we explain the architecture for the environment and sensors that has been built
for the European project URUS (Ubiquitous Networking Robotics in Urban Sites), a project …

We present novel techniques for simultaneous task allocation and planning in multi-robot
systems operating under uncertainty. By performing task allocation and planning …

When coordinating their actions to accomplish a mission, the agents in a multi-agent system
may use a collaboration algorithm to determine which agent performs which task. This paper …

Health management of complex dynamic systems has evolved from simple automated
alarms into a subfield of artificial intelligence with techniques for analyzing off-nominal …

In this paper, we address the problem of heterogeneous multi-robot cooperation for
information gathering and situation evaluation in a stochastic and partially observable …