Cooperative multi-agent planning (MAP) is a relatively recent research field that combines
technologies, algorithms, and techniques developed by the Artificial Intelligence Planning …

This paper surveys the literature over the last decades in the field of self-organizing
multiagent systems. Self-organization has been extensively studied and applied in …

The field of multi-agent system (MAS) is an active area of research within artificial
intelligence, with an increasingly important impact in industrial and other real-world …

Many researchers have demonstrated that the organizational design employed by an agent
system can have a significant, quantitative effect on its performance characteristics. A range …

In this letter, we study a cooperative aerial-ground robotic team and its application to the task
of automated construction. We propose a solution for planning and coordinating the mission …

In this paper we study a symbiotic aerial vehicle-ground vehicle robotic team where
unmanned aerial vehicles (UAVs) are used for aerial manipulation tasks, while unmanned …

This paper proposes FMAP (Forward Multi-Agent Planning), a fully-distributed multi-agent
planning method that integrates planning and coordination. Although FMAP is specifically …

In this paper, we describe a pilot implementation and field test of a recently developed
approach to real-time adaptive traffic signal control. The pilot system, called SURTRAC …

Real-time optimization of the dynamic flow of vehicle traffic through a network of signalized
intersections is an important practical problem. In this paper, we take a decentralized …

In this paper we present a study of a robotic system that consists of an unmanned aerial
vehicle equipped with a pair of manipulator arms (MMUAV), and unmanned ground vehicles …