Ontology and PDDL Planning Based Unmanned Cluster Collaborative Task System Modeling

Unmanned cluster collaborative task systems suffer from complex elements, difficulty in comprehensive analysis, and high difficulty in intra-cluster collaborative tasks. Existing methods fail to address both system modeling and task planning. In this paper, we propose an ontology and PDDL planning based modeling method for unmanned cluster collaborative task systems, which enables both system modeling and task planning. First, the entire unmanned cluster system is modeled using an ontology technique. Then, we take the system ontology modeling as prior knowledge to model unmanned cluster collaborative task planning using the PDDL technique. Simulation experiments have shown that our method can accurately map knowledge from different domains at the top level and effectively plan action sequences for given collaborative task objectives.