In this thesis I consider the problem of motion planning for walking, bipedal robots, including humanoid robots. While a number of problems complicate planning for robots with a large number of degrees of freedom that possess many dynamic constraints, such as a bipedal system, a simplified framework can be used to find an approximate solution to some planning problems even though, in general, t...

In this paper we compare the performance of planning algorithms distinguishing and iterating between observation (diagnosis) and repair (action) phases with algorithms extending conventional planning methods with observations using n-step look ahead. Diagnosis and repair iteration planning algorithms are an extension of earlier work of Friedrich and Nejdl, n-step look ahead planning including d...

background: because of unemployment and inadequate education and health services, high rate of maternal and infant mortalities, a rapidly growing population is a serious problem in turkey. social values and attitudes of women might be effective in using modern family planning methods. our aim in this study was to evaluate the factors concerning the attitudes of married women toward family plann...

Major construction and engineering projects pose high challenges at logistic planning, including numerous restrictions, risks and dynamic effects. Consequently many tasks cannot be effectively solved using conventional tools and methods. We propose an integrated planning procedure that adopts simulation techniques in order to consider the whole supply chain and incorporate operative processes a...

This paper discusses a planner-based approach to automating data production tasks, such as producing fire forecasts from satellite imagery and weather station data. Since the set of available data products is large, dynamic and mostly unknown, planning techniques developed for closed worlds are unsuitable. We discuss a number of techniques we have developed to cope with data production domains,...

The partially observable Markov decision process (POMDP) provides a principled general framework for robot planning under uncertainty. Leveraging the idea of Monte Carlo sampling, recent POMDP planning algorithms have scaled up to various challenging robotic tasks, including, e.g., real-time online planning for autonomous vehicles. To further improve online planning performance, this paper pres...

Both the topics of Computer Aided Process Planning and Production Planning in the context of sheet metal air bending have been presented as standalone topics previously. This paper will focus on the interaction between both modules. Choices made by the CAPP-module seem to influence the possible gains that can be obtained in production planning and vice versa. The used procedures for both the CA...