This paper presents a novel method for controlling teams of unmanned aerial vehicles using Stochastic Optimal Control (SOC) theory. The approach consists of a centralized high-level planner that computes optimal state trajectories as velocity sequences, and a platform-specific low-level controller which ensures that these velocity sequences are met. The planning task is expressed as a centraliz...

The Multi-Agents Autonomous Robotic Systems (MARS) are modeled and developed to work in process dedicated to the navigation in stochastic environments, especially in location, planning and mapping. These processes make use of design models in centralized systems that generate dependence on a central unit, being this a limitation for the autonomy of the robotic agents. On the other side, the wir...

The Simple Temporal Problem (STP) is a popular representation for solving centralized scheduling and planning problems. When scheduling agents are associated with different users who need to coordinate some of their activities, however, considerations such as privacy and scalability suggest solving the joint STP in a more distributed manner. Building on recent advances in STP algorithms that ex...

This paper develops a dynamicmodel in a one-supplier-one-retailer fresh agricultural product supply chain that experiences supply disruptions during the planning horizon.The optimal solutions in the centralized and decentralized supply chains are studied. It is found that the retailer’s optimal order quantity and the maximum total supply chain profit in the decentralized supply chain with whole...

Constraint satisfaction is one of the most successful problem solving paradigms in Artificial Intelligence. Since its original development over 30 years ago [2–4], it has found numerous applications in almost all areas of AI. Its most common applications today are in configuration, planning, scheduling and resource allocation, and form the basis of a significant software industry. With increasi...

Traffic congestion is a widespread epidemic that continually wreaks havoc in urban areas. Traffic jams, car wrecks, construction delays, and other causes of congestion, can turn even the biggest highways into a parking lot. Several congestion mitigation strategies are being studied, many focusing on micro-simulation of traffic to determine how modifying road structures will affect the flow of t...

We present and discuss a generic scheme for multi-robot cooperation based on an incremental and distributed plan-merging process. Each robot, autonomously and incrementally builds and executes its own plans taking into account the multi-robot context. The robots are assumed to be able to collect the other robots plans and to coordinate their own plans with the other robots plans to produce \co-...

We present and discuss a generic scheme for multi robot cooperation based on an incremental and dis tributed plan merging process Each robot autonomously and incrementally builds and executes its own plans taking into account the multi robot context The robots are assumed to be able to collect the other robots plans and to coordinate their own plans with the other robots plans to produce co ord...