ActuPlan is a automated planner designed to solve planning problems having concurrent actions and uncertainty on time (duration of actions). ActuPlan has two variants. Both variants generate plans under a given threshold (parameter) on their probability of success. ActuPlanNC generates optimal non-conditional (conformant) plans. A non-conditional plan is a set of partially ordered labelled actions. ActuPlanC generates conditional plans which are near optimal under some reasonable restrictions. The conditional plans are expressed using a form of finite state machines where transitions are constrained by time intervals.

The ActuPlan project has been initiated during the Ph.D. of Éric Beaudry at Université de Sherbrooke which has been supervised by Professors Froduald Kabanza (director of the Planiart lab) and François Michaud (director of IntRoLab and Canada Research Chairholder in Mobile Robotics and Intelligent Autonomous Systems). The project is now maintained at GDAC lab at Université du Québec à Montréal.
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