Planning Solutions in the Real World
In the last years, researchers have made significant progress on robot planning, leading to impressive real-time planners for such challenging tasks as driving, flying, walking, and manipulating objects. In this paper, the authors present a novel architecture to support applications in artificial intelligence in environments fully observable, i.e. in classical planning. On the other hand, they developed ASP-based applications that allow going 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.