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The purpose of this paper is to explore a new way of autonomous mapping. Current systems using perception techniques like LAZER or SONAR use probabilistic methods and have a drawback of allowing considerable uncertainty in the mapping process. Our approach is to break down the environment, specifically indoor, into reachable areas and objects, separated by boundaries, and identifying their shap...

This paper proposes a framework for using business and organizational scenario-planning techniques for regional strategic transportation-planning purposes. The paper provides a brief history of scenario planning as it emerged from business-strategic planning activities and gives an overview of its goals and limitations. The paper then reviews the context for scenario planning in regional transp...

Abstract: The first step in drafting policies for city building and town planning is to find what kinds of issues have proved to be controversial. Complexity within city planning for many unresolved, modern problems makes the issues more complicated than before. City planning issues have formed a complex, which is never resolved by conventional methods including interview surveying and question...

The agro-ecosystems of semi-arid and dry sub-humid SSA are inherently dynamic. At this point in time they are also experiencing a series of complex social–ecological changes that make their future even more uncertain. To ensure that development investments made today in the small-scale farming systems that dominate these regions make sense also in a long-term perspective they should benefit the...

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...