Eyal Shlomo Shimony

There has been much recent work on finding paths in grid maps among moving obstacles. However, in addition to assuming complete omniscience regarding the map and the obstacles' trajectories, previous work has also assumed that time stands still while the agent plans. In this paper, we address situated pathfinding, in which time passes and the obstacles continue to move while the agent plans. We study the choice of state space representation and search algorithm, with a focus on whether conclusions drawn from studies in the off-line case continue to hold in a situated setting.