Francesco Mondada, Jean-Cédric Chappelier, Stéphane Magnenat
This paper extends hierarchical task network (HTN) planning with lightweight learning, considering that in robotics, actions have a non-zero probability of failing. Our work applies to A*-based HTN planners with lifting. We prove that the planner finds the ...
2012