Current motion planners, such as the ones available in ROS MoveIt, can solve difficult motion planning problems. However, these planners are not practical in unstructured, rapidly-changing environments. First, they assume that the environment is well-known, and static during planning and execution. Second, they do not support temporal constraints, which are often important for synchronization b...

Classical AI planners use loops over subgoals to move a stack of blocks by repeatedly moving the top block. Probabilistic planners and reactive systems repeatedly try to pick up a block to increase the probability of success in an uncertain environment. These planners terminate a loop only when the goal is achieved or when the probability of success has reached some threshold. The tradeoff betw...

This article presents the development and application of a methodology that employs optimization not to seek the single or few optimal plan(s) but to provide planners with a systematic overview of their decision space. As urban development projects are not only subject to decisions of planners but also to those of many actors, the insight about how different actors would decide based on the dec...

Current temporal planners have a hard time solving large, real-world problems which involve dealing with metric time and concurrent actions. While landmarks have enabled classical planners to scale up to significantly larger problems, they have not yet brought as much benefit to temporal planning. We argue that the reason for this is that for landmarks to make an effective addition to planning ...

Modern organizations execute processes to deliver product and services, whose enactment needs to adhere to laws, regulations and standards. Conformance checking is the problem of pinpointing where deviations are observed in the process event data. Literature proposes solutions for the conformancechecking problem that, in fact, are implementations of planning algorithms built ad-hoc for the spec...

Providing reliable electrical service has always been a key focus for distribution planners. Traditional forecasting and planning approaches have historically used average load growth over wide areas, basic analysis of weather impacts, and little, if any, attention to changing economic, resource deployment, or network topology changes. Exactly how resources and loads operate, interact, and prov...

Exploring the conformational space of proteins is critical to characterize their functions. Numerous methods have been proposed to sample a protein's conformational space, including techniques developed in the field of robotics and known as sampling-based motion-planning algorithms (or sampling-based planners). However, these algorithms suffer from the curse of dimensionality when applied to la...

Sequential planning portfolios are very powerful in exploiting the complementary strength of different automated planners. The main challenge of a portfolio planner is to define which base planners to run, to assign the running time for each planner and to decide in what order they should be carried out to optimize the planning metric. Portfolio configurations are usually derived empirically fr...

The achievement of strategies goals is one of the objectives of many organizations. One of the important influences on strategic objectives is the attitudes and perceptions of strategic planners groups. This paper focuses on conception of strategic directions in Export Development Bank of Iran (EDBI) among administrators (including board members, top and middle managers). This study was designe...