Palacios Verdes, Héctor Luis (Date of defense: 2009-12-03)
Conformant planning is the problem of finding a sequence of actions for achieving a goal in the presence of uncertainty in the initial state and state transitions. While few practical problems are ...
Ramírez Jávega, Miquel (Date of defense: 2012-05-17)
Plan recognition is the problem of inferring the goals and plans of an agent after partially observing its behavior. This is the inverse of planning, the problem of finding the actions that need to ...
Keyder, Emil Ragip (Date of defense: 2010-12-17)
Classical planning is the problem of nding a sequence of actions that take an agent from an initial state to a desired goal situation, assuming deter- ministic outcomes for actions and perfect ...
Lipovetzky, Nir (Date of defense: 2012-12-07)
Classical planning is the problem of finding a sequence of actions for achieving a goal from an initial state assuming that actions have deterministic effects. The most effective approach for finding ...
Ferrer Mestres, Jonathan (Date of defense: 2018-05-09)
Planning in robotics is often split into task and motion planning. The task planner decides what needs to be done, while the motion planner fills up geometric details. However, such a decomposition is ...
Albore, Alexandre (Date of defense: 2012-02-22)
Artificial Intelligence Planning is about acting in order to achieve a desired goal. Under incomplete information, the task of finding the actions needed to achieve the goal can be modelled as a search ...
Francès, Guillem (Date of defense: 2017-10-26)
Classical planning is concerned with finding sequences of actions that achieve a certain goal from an initial state of the world, assuming that actions are deterministic, states are fully known, and ...
Kominis, Filippos (Date of defense: 2017-12-01)
Classical planning is the problem of finding a sequence of actions that achieve a desired goal from an initial state, assuming deterministic actions. Dynamic epistemic logic (DEL) on the other hand, ...