Heuristic Planning for Hybrid Systems
نویسندگان
چکیده
Planning in hybrid systems has been gaining research interest in the Artificial Intelligence community in recent years. Hybrid systems allow for a more accurate representation of real world problems, though solving them is very challenging due to complex system dynamics and a large model feature set. In this paper we introduce DiNo, a new planner capable of tackling complex problems with non-linear system dynamics governing the continuous evolution of states. DiNo is based on the discretise and validate approach and uses the novel Staged Relaxed Planning Graph (SRPG) heuristic, which is introduced in this paper. DiNo is currently the only heuristic planner capable of handling nonlinear system dynamics combined with the full PDDL+
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تاریخ انتشار 2016