The Partially Observable Markov Decision Process (POMDP) model is explored for high level decision making for Unmanned Air Vehicles (UAVs). The type of UAV modeled is a flying mun...
In a paper published in JASSS, Chris Goldspink discusses the methodological implications of complex systems approaches to the modeling of social systems. Like others before him Go...
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
In this paper, we analyze the verification of K-step opacity in discrete event systems that are modeled as (possibly non-deterministic) finite automata with partial observation on ...
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...