no code implementations • 1 Jul 2022 • Maurício Cecílio Magnaguagno, Felipe Meneguzzi, Lavindra de Silva
Hierarchical Task Networks (HTN) planners generate plans using a decomposition process with extra domain knowledge to guide search towards a planning task.
no code implementations • 6 Jun 2018 • Lavindra de Silva
Like Belief-Desire-Intention (BDI) agent reasoning, HTN planning performs hierarchical and context-based refinement of goals into subgoals and basic actions.
no code implementations • 9 Aug 2017 • Lavindra de Silva, Sebastian Sardina, Lin Padgham
Hierarchically structured agent plans are important for efficient planning and acting, and they also serve (among other things) to produce "richer" classical plans, composed not just of a sequence of primitive actions, but also "abstract" ones representing the supplied hierarchies.
no code implementations • 21 May 2014 • Raphaël Lallement, Lavindra de Silva, Rachid Alami
Hierarchical Task Network (HTN) planning is a popular approach that cuts down on the classical planning search space by relying on a given hierarchical library of domain control knowledge.
no code implementations • 4 Jul 2013 • Lavindra de Silva, Amit Kumar Pandey, Mamoun Gharbi, Rachid Alami
In this paper we present an interface between a symbolic planner and a geometric task planner, which is different to a standard trajectory planner in that the former is able to perform geometric reasoning on abstract entities---tasks.
