25,705 research outputs found

    Towards strategic-decision quality in Flemish municipalities: the importance of strategic planning and stakeholder participation

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    Legislation put forth by the Flemish government mandated Flemish municipalities to adopt strategic planning for their 2014-2019 policy cycle. The government’s assumption is that strategic planning’s approach to decision-making results in strategic-decision quality. Despite this assumption, it remains unclear whether and how strategic planning actually contributes to municipal decision-making. This study elucidates this issue. Drawing on survey data from 271 informants within 89 Flemish municipalities, we find that the systematic dimension of formal strategic planning and the participation of both core and peripheral stakeholders contribute to strategic-decision quality. However, the analytic dimension of formal strategic planning offers no significant contribution

    Learning to Prevent Monocular SLAM Failure using Reinforcement Learning

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    Monocular SLAM refers to using a single camera to estimate robot ego motion while building a map of the environment. While Monocular SLAM is a well studied problem, automating Monocular SLAM by integrating it with trajectory planning frameworks is particularly challenging. This paper presents a novel formulation based on Reinforcement Learning (RL) that generates fail safe trajectories wherein the SLAM generated outputs do not deviate largely from their true values. Quintessentially, the RL framework successfully learns the otherwise complex relation between perceptual inputs and motor actions and uses this knowledge to generate trajectories that do not cause failure of SLAM. We show systematically in simulations how the quality of the SLAM dramatically improves when trajectories are computed using RL. Our method scales effectively across Monocular SLAM frameworks in both simulation and in real world experiments with a mobile robot.Comment: Accepted at the 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) 2018 More info can be found at the project page at https://robotics.iiit.ac.in/people/vignesh.prasad/SLAMSafePlanner.html and the supplementary video can be found at https://www.youtube.com/watch?v=420QmM_Z8v

    Patterns of adult sibling role involvement with brothers and sisters with intellectual and developmental disabilities

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    Adult siblings of individuals with intellectual and developmental disabilities (IDD) are increasingly involved in family care, yet, adult siblings consistently report needing more information and support to engage in these roles. Knowing more about which roles siblings are likely to assume may help address this need. Thus, we further examined the most common roles assumed by adult siblings (N = 171), the demographic variables related to an increased likelihood of assuming specific roles, and the potential clusters in patterns of role assumption. We transformed qualitative data from an online survey with four open-ended questions about sibling relationships and roles into quantitative presence data for role-related codes in order to examine relationships between assumed roles and demographic variables. The most common roles assumed by adult siblings were friend, advocate, caregiver, and sibling. Key demographic variables related to role assumption included disability severity, emotional closeness, and age of the brother or sister with IDD. Cluster analyses indicated five potential categories of adult sibling role involvement: Companion, Least Involved, Highly Involved, Needs Focused, and Professional. Implications and future areas of research are shared.Accepted manuscrip

    Plan validation and mixed-initiative planning in space operations

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    Bringing artificial intelligence planning and scheduling applications into the real world is a hard task that is receiving more attention every day by researchers and practitioners from many fields. In many cases, it requires the integration of several underlying techniques like planning, scheduling, constraint satisfaction, mixed-initiative planning and scheduling, temporal reasoning, knowledge representation, formal models and languages, and technological issues. Most papers included in this book are clear examples on how to integrate several of these techniques. Furthermore, the book also covers many interesting approaches in application areas ranging from industrial job shop to electronic tourism, environmental problems, virtual teaching or space missions. This book also provides powerful techniques that allow to build fully deployable applications to solve real problems and an updated review of many of the most interesting areas of application of these technologies, showing how powerful these technologies are to overcome the expresiveness and efficiency problems of real world problems

    Talking About Task Progress: Towards Integrating Task Planning and Dialog for Assistive Robotic Services

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    The use of service robots to assist ageing people in their own homes has the potential to allow people to maintain their independence, increasing their health and quality of life. In many assistive applications, robots perform tasks on people’s behalf that they are unable or unwilling to monitor directly. It is important that users be given useful and appropriate information about task progress. People being assisted in homes and other realworld environments are likely be engaged in other activities while they wait for a service, so information should also be presented in an appropriate, nonintrusive manner. This paper presents a human-robot interaction experiment investigatingwhat type of feedback people prefer in verbal updates by a service robot about distributed assistive services. People found feedback about time until task completion more useful than feedback about events in task progress or no feedback. We also discuss future research directions that involve giving non-expert users more input into the task planning process when delays or failures occur that necessitate replanning or modifying goals

    Impacts of 4D BIM on Construction Project Performance

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    A significant proportion of construction projects are failing to achieve their deadline finish dates. This advocate for solutions that could address the root causes of time impacting risks, leading to the use of 4D BIM for project planning. This study investigates the impacts of 4D BIM on construction projects. An exploratory sequential mixed method research was conducted to initially explore the topic via interviews and literature review, and, subsequently, the themes derived were put into questionnaires to elicit expert knowledge on a wider industry scale. The data were analysed using thematic analysis, reliability analysis, Kruskal-Wallis test and factor analysis. Across the objectives around the impacts of 4D BIM on project reliability, monitoring and diagnosis, the findings presented eight key ways the 4D BIM support project performance. Examples of component factors that were raised was planning efficiency to enhance planner output, assessment and directive with a better comparison of planned and actual progress, and thorough/comprehensive risk reflection to cover wide ranges of issues. Upon further reflection, the finding highlighted the issues of the lack of shared responsibility outside of the planner and BIM coordinator, severe lack of understanding and training regarding 4D BIM and complexity of carrying out the process effectively

    EMPIRICAL STUDY ON THE INFLUENCE OF PROCUREMENT METHODS ON LAST PLANNERÂź SYSTEM IMPLEMENTATION

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    Previous studies have examined various factors that influence the implementation of the Last Planner System (LPS) in construction projects. However, there is limited documented evidence on the influence of procurement methods on the implementation of the LPS. The aim of this study, therefore; is to understand the influence of some selected procurement methods on the implementation of the LPS using case study approach. Three in-depth case studies were conducted on building and highways projects in the UK. The projects were managed with the LPS principles with dissimilar procurement methods. In addition to document analysis and physical observation, 28 in-depth-interviews were conducted. The investigation shows that the prevailing traditional mindset exhibited by the designers in the traditional design bid build (DBB) influences the quality of promises and commitments that could be made during the lookahead planning. From the study, it seems no single procurement method is a sure way to the full application of the LPS process on a project. The study observes that irrespective of the procurement route used, a mindset change towards collaboration among the different stakeholders on the project is fundamental to successful LPS implementation. For instance, on projects where DBB was used and the subcontractors were in framework agreement, the LPS implementation worked well among the subcontractors. The study recommends that the procurement approach to be used on LPS projects should not be too firm, but lithe enough to integrate collaborative working among the different stakeholders on the project for a smooth workflow
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