Robust Plan Execution in Multi-agent Environments
Cesar Guzman, Pablo Castejón, Eva Onaindía, Jeremy E. Frank · 2014
This paper presents a novel multi-agent reactive execution model that keeps track of the execution of an agent to recover from incoming failures. It is a domain-independent execution model, which can be exploited in any planning control application, embedded into a more general multi-agent planning framework. The multi-agent reactive execution model provides a mechanism allowing an agent to respond to failures that prevent completion of a task when another agent is not able to repair the failure by itself. The model exploits the reactive planning capabilities of agents to come up with a solution at runtime, thus preventing agents from having to resort to replanning. We show the application of the proposed model for the control of multiple autonomous space vehicles.