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Robots should avoid potential failure situations to safely execute their actions and to improve their performances. For this purpose, they need to build and use their experience online. We propose online learning-guided planning methods to address this problem. Our method includes an experiential learning process using Inductive Logic Programming (ILP) and a probabilistic planning framework that uses...
The inherent complexity of urban energy systems, and related decision making on system configuration and system operation strategies requires appropriate energy modelling, simulation and optimization means and tools. Due to its character, optimization applied with agent based modeling can be used to tackle problems whose nature is distributed and complex. In this work we present the insights gained...
Recent advances in road safety have lead to a constant decline of injured traffic participants in Europe per year. Still, the number of injured pedestrians remains nearly constant. As a countermeasure, active pedestrian safety is the focus of current research, for which accurate pedestrian prediction is a prerequisite. In this scope, we propose a method for dynamics-and environment-based pedestrian...
Logistics pooling is relatively a new concept in transportation and logistics optimization, but is very important in practice. It has been identified in literature with different facets reflecting its evolution. Collaborative transportation and consolidations in storage, transfer centers, paths, vehicles loading in one side, and in supply plans in the other side, seem to constitute together a promising...
Planning for robots in environments co-inhabited by humans entails handling exogenous events during plan execution. Such events require plans to be continuously adapted to ensure that they remain "human-aware", i.e., adherent to human preferences and needs. We use an approach whereby human-awareness is enforced through so-called interaction constraints. Interaction constraints are used to...
This paper explores the use of Binary Decision Diagrams (BDDs) in Conformant Planning. A conformant planner, called BPA, based on the BDD representation for belief sets is developed. Heuristics that fit with the BDD representation are presented and analyzed experimentally. The paper confirms the strong potential of BDDs to enhance performance of heuristic search based conformant planners.
The combination of the process of pedagogical planning within the Blended (b-)learning environment with the users' quality of interaction (QoI) with the Learning Management System (LMS), serving as an effective feedback, is explored here. The required QoI (both for teachers and students) is estimated by adopting a fuzzy logic-based modeling approach, namely FuzzyQoI, applied to LMS Moodle data from...
Our experience with email-based marketing campaigns (or short: “Microservices”) showed that they are an intersecting set of a) projects and processes and b) technology and creativity. Their properties of fixed due date, fixed scope and at the same time fixed duration render classical management methodologies unfeasible. The same applies to the supporting enterprise infrastructure architecture, where...
In designing BYOB and Snap/, we wanted to extend the Scratch idea of visual metaphors for control structures to include anonymous procedures and higher order functions. We describe the iterations in the design leading to the current "grey ring" notation.
In this Work In Progress paper, we describe an NSF-funded research project designed to generate transferable tools that can be used to teach and evaluate undergraduate engineering students' metacognitive skills. Metacognition, defined as the knowledge and regulation of one's own cognitive (or thinking) processes, is critically important to student learning and particularly instrumental in problem-solving...
Self-Regulated Learning (SRL) is being promoted and adopted increasingly because of the needs of current education, based on competences and student centered. At the same time, the use of technology for learning is now usual and also increasing. Nevertheless, current learning software offers poor support for SRL. Learners use different tools to organize their learning, to visualize content, to submit...
The Software Engineering sector has been demanding an education model that targets real market practices more and more exactly. This includes bearing in mind that, in the market, a software project is subject to numerous restrictions of time, budget and other resources required for its development. In this context, this article describes the application of a learning methodology based on problems,...
In this publication a two-step approach for resourceoptimal sensor scheduling in intelligence is presented. This approach has been developed in close cooperation with subjectmatter experts from the Intelligence, Surveillance, and Reconnaissance (ISR) domain. It constitutes the fundamental basis of a computer-aided assistance system for ISR management personal.
This article discusses students' self- and co-regulation during their engagement in a senior design project. The specific focus of this study was to understand how participants monitor their design process and manage their projects with their teammates. Fourteen students working in four different teams participated in the study, each of which were in their senior year of Biological Engineering courses...
According to Federal Council of Engineering, in Brazil the Engineers deficit is estimated at about 20,000 per year on several areas of engineering. Among other factors, one of the causes of this deficit is the high failure rate in the disciplines within the technical area which causes students to take up to twice the time required to complete the course. This phenomenon is also reflected in the Vocational...
Situational awareness supports mission assurance and requires access to archived and real-time information that is most relevant to the mission being performed, the roles of warfighters, and evolving operational scenarios. Information Management (IM) services support the discovery, brokering, and dissemination of past and future information in support of military missions. They decouple information...
The objectives of this article are: 1) to present a taxonomy for mixed-initiative human-robot interaction and 2) to survey its state of practice through the examination of past research along each taxonomical dimension. The paper starts with some definitions of mixed-initiative interaction (MII) from the perspective of human-computer interaction (HCI) to introduce the basic concepts of MII. We then...
The use of automated robot systems in many different contexts and applications has increased significantly in recent years. A prominent application area is the transport of objects, which has applications to simple cases of moving objects in a home environment as well as in more complex scenarios, such as in search and rescue missions or commercial warehouses. In this work we propose a methodology...
We are combining symbolic and geometric planning to synthesize human-aware plans in order to deal with the complex and highly intricate planning problems induced by Human-Robot collaborative object manipulation. In this paper, we summarize our previous contributions - refining symbolic actions at geometric level, during the symbolic planning, in order to assess their feasibility and computing the...
We consider the problem of adaptively routing a fleet of cooperative vehicles within a road network in the presence of uncertain and dynamic congestion conditions. To tackle this problem, we first propose a Gaussian process dynamic congestion model that can effectively characterize both the dynamics and the uncertainty of congestion conditions. Our model is efficient and thus facilitates real-time...
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