Despite the historical difference in focus between AI planning techniques and Integer Programming (IP) techniques, recent research has shown that IP techniques show significant promise in their ability to solve AI planning problems. This paper provides approaches to encode AI planning problems as IP problems, describes some of the more significant issues that arise in using IP for AI planning, ...

Derivation replay was first proposed by Carbonell as a method of transferring guidance from a previous problemsolving episode to a new one. Subsequent implementations have used state-space planning as the underlying methodology. This paper is motivated by the acknowledged superiority of partial-order (PO) planners in plan generation, and is an attempt to bring derivation replay into the realm o...

We investigate Constraint Programming and Planning Domain Definition Language-based technologies for planning and scheduling multiple robots in a retirement home environment to assist elderly residents. Our robotics problem and investigation into proposed solution approaches provide a real world application of planning and scheduling, while highlighting the different modeling assumptions requir...

Path planning is the key task in the field of Robotics. The modelling environment and algorithm to find shortest, collision free path are the basic issues in the path planning problem of the robot motion planning. This paper presents a literature review of different path planning techniques in static as well as dynamic environment. Planning a path in static environment is easy as compared to dy...

new planning methodology for coping with this uncertainty caused by disruptions is presented. Planning steps described by their preconditions and their consequences are used for material requirements planning and scheduling. Preconditions of planning steps have to be satisfied in a certain state of environment for the planning steps to be applicable. Consequences of planning steps change the st...

Despite recent progress in AI planning, many benchmarks remain challenging for current planners. In many domains, the performance of a planner can greatly be improved by discovering and exploiting information about the domain structure that is not explicitly encoded in the initial PDDL formulation. In this paper we present and compare two automated methods that learn relevant information from p...

Nationwide, one rescue worker is lost for every two victims rescued in collapsed structure situations; following Sept. 11, 2001, this ratio fell to 1:1. Limited physical facilities are available for training rescue workers in collapsed structure rescue. Our idea is to develop a training game for teaching collapsed structure rescue skills to members of emergency response community. In order to p...

For reasonable application in critical domains dialogue systems not only have to pay attention to user knowledge and dialogue goals but they also have to adapt their dialogue behaviour to current limitations of the user's cognitive processing capabilities. In case of a help system the point of concern is on the one hand the aspect as to what kind of help is appropriate for the user (What to do?...

traditional approaches to AI planning. Planning and executing the resulting plans in a dynamic environment implies a continual approach in which planning and execution are interleaved, uncertainty in the current and projected world state is recognized and handled appropriately, and replanning can be performed when the situation changes or planned actions fail. Furthermore, complex planning and ...