Current planners show impressive performance in many real world and artificial domains by using planning (either domain dependent or independent) heuristics. But, on one hand, domain dependent planners still outperform domain independent planners by re-defining domain theories, also including control knowledge. On the other hand, these domain dependent planners require a careful and manual refi...

We study the mechanism design problem where planner can observe ex-post first-ranked alternatives or peaks of voter preferences. contrast this with has ex-ante information regarding

This paper explores how current planners behave when exposed to multiple metrics, examining which of the planners are metric sensitive and which are not. For the metric insensitive planners we propose a new method of simulating metric sensitivity for the purpose of generation of diverse plans close to a pareto frontier. It is shown that metric sensitive planners are good candidates for generati...

This research aims to find an answer to the question of which knowledge and skills do the Turkish urban planners need in their business practice. Understanding change in cities, making a prediction, making an urban decision and putting it into practice, working together with actors from different organizations from various academic disciplines, persuading people to accept something and developi...

This paper describes a software infrastructure for developing and composing task and motion planners. The functionality of motion planners is well defined and they provide a basic primitive on top of which it is possible to develop planners for addressing higher level tasks. It is more challenging, however, to identify a common interface for task planners, given the variety of challenges that t...