Vision-based deep execution monitoring

Execution monitor of high-level robot actions can be effectively improved by visual monitoring the state of the world in terms of preconditions and postconditions that hold before and after the execution of an action. Furthermore a policy for searching where to look at, either for verifying the relations that specify the pre and postconditions or to refocus in case of a failure, can tremendously improve the robot execution in an uncharted environment. It is now possible to strongly rely on visual perception in order to make the assumption that the environment is observable, by the amazing results of deep learning. In this work we present visual execution monitoring for a robot executing tasks in an uncharted Lab environment. The execution monitor interacts with the environment via a visual stream that uses two DCNN for recognizing the objects the robot has to deal with and manipulate, and a non-parametric Bayes estimation to discover the relations out of the DCNN features. To recover from lack of focus and failures due to missed objects we resort to visual search policies via deep reinforcement learning

Encouraging Quality Regulation: Theories and Tools

Achieving good regulatory outcomes normally requires high quality design, implementation and review of the regulatory regime. Major regulatory theories focus on concepts such as the public interest, the role of interest groups, and regulatory capture to explain why regulations come into existence. Regulatory design, however, exists at two levels. Downstream design involves creating a regime to give the appropriate incentives to firms and consumers. Upstream design seeks to incentivise regulators themselves to create and operate high quality regulatory regimes. This paper focuses on the latter. The OECD has undertaken a major programme on regulatory governance to ensure quality in the design and implementation of regulations. Such measures are now widespread. New Zealand has gradually implemented these approaches including Regulatory Impact Analysis (RIA) in its decision- making processes. These measures are supported, and to some degree required, by increased interaction with Australian practices through institutions such as the Council of Australian Governments and the obligations of Trans-Tasman Mutual Recognition Arrangement. Achieving full integration of best practice that creates an environment for consistently delivering high quality regulation requires a broad and sustained focus on design, capability, incentives and follow-up. New Zealand has attempted over the last decade to improve regulatory outcomes by focusing on the incentives on regulators. There is still scope for further improvement. Sustained progress on a number of mutually supporting initiatives, with continued reinforcement of the underlying messages and careful building of the necessary institutions and practices is required for continued improvement.Quality regulation; Regulatory Quality; Regulatory Reform; Regulatory Capture

Panel: Why do we toil? Benefiting research at the cost of practice or vice versa?

In this paper, we present a systematic literature review in the field of IT Outsourcing with a focus on risk management. The source material of the review consists of 97 high quality journal articles published in 18 journals between 2001 and September 2008. Besides an analysis of related work, this review provides an overview of applied research methods and theories in the field of IT Outsourcing. The articles are then analyzed from a risk management point of view to highlight key risk factors and their specific impact on IT Outsourcing. Identified risk factors are further analyzed in order to assign each risk factor to the phases of a typical IT Outsourcing process (life-cycle). The results of the review show that empirical research is the most applied method and that action research and reference modelling have not been used at all so far. Furthermore, elements of a research agenda are discussed in order to determine further steps to the construction of a reference model for risk management in IT Outsourcing. This paper mainly aims at an audience of experienced researchers in the field of IT Outsourcing who are looking for research ideas and at junior scientists (e.g. PhD students) entering this emerging field of research

WEB BASED LABORATORY TASK-SUBMITTER APPLICATION MODEL

Teaching learning process in laboratory is obligatory in engineering education especially for course in information technology (IT).  To make laboratory activities become more interesting for the students, lecturers must build application-based exercise for the student, but after students accomplished their short exercise, it is found that lecturers got difficulty to compile and grade all the exercises. This paper is based on the idea how to overcome the problem above, in order to make activities in the laboratory comfortable for both lectures and student. It is expected that the lectures will able to fully control all practical activity and save the time automatically. To make approach to solve the problem in IT, a modeling process must be conducted first. There for, firstly, this paper explain the model approach for the problem above, then the IT design for practices in laboratory is described. The IT design to overcome the problem has been effectively applied in the real teaching learning process

Logic programming for deliberative robotic task planning

Over the last decade, the use of robots in production and daily life has increased. With increasingly complex tasks and interaction in different environments including humans, robots are required a higher level of autonomy for efficient deliberation. Task planning is a key element of deliberation. It combines elementary operations into a structured plan to satisfy a prescribed goal, given specifications on the robot and the environment. In this manuscript, we present a survey on recent advances in the application of logic programming to the problem of task planning. Logic programming offers several advantages compared to other approaches, including greater expressivity and interpretability which may aid in the development of safe and reliable robots. We analyze different planners and their suitability for specific robotic applications, based on expressivity in domain representation, computational efficiency and software implementation. In this way, we support the robotic designer in choosing the best tool for his application