Planning Solutions in the Real World
Fernando Zacarías, Rosalba Cuapa, Guillermo De Ita, Daniel R. Torres, Acosta J.C · International Journal of Artificial Intelligence & Applications · 2014
In the last years,researchers have made significant progress on robot planning, leading to impressive realtime planners for such challenging tasks as driving, flying, walking, and manipulating objects.In this paper we present a novel architecture to support applications in artificial intelligence in environments fully observable, i.e. in classical planning.On the other hand, we developed ASP-based applications that allowgoing of classical planning to a dynamic planning, according to the real world execution through logic programming where answer sets correspond to solutions, similar to of answer set programming.Furthermore, our systems allow online planning and replanning, depending on whether plan requires revision during execution and replan accordingly.