1,721,028 research outputs found
Learning humanoid soccer actions interleaving simulated and real data
No full textThis paper presents an approach for learning complex tasks on real robots, like walking or kicking in a humanoid soccer robot, profiting at most from the possibility to run simulations of a virtual model of the robot. This approach avoids to damage the real robot in the time consuming trials needed to learn a correct behavior and avoids to overfit the virtual robot model. The basic idea is to run most of the learning steps in simulation and to use a few learning steps on the real robot to assess discrepancies between the simulation and the reality. The calculated discrepancies are used to correct the fitness function used in simulation. Experiments on interleaving the learning between a real robot (Robovie-M by VStone) and its virtual model in USARSim are presented. They show that the proposed method is effective and significantly reduces learning time
A Multi Agent System Approach for Emergency Intervention: Experimental Analisys and Evaluation
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Experiments with the RoboCup Rescue Simulator in a Post Earthquake Emergency Italian Scenario
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Ontology-based coalition formation in heterogeneous MRS
No full textMulti-robot coordination is an important field of study in the recent years, due to the need of systems designed for complex tasks. Recently, the capability to perform tasks achievable only by multiple collaborating robots has been investigated, and there are studies on scenarios where robots can accomplish tasks/missions only if they have some aid from other robots. Our work focuses on coalition formation, where a robot coalition is a set of robots that is able to accomplish tasks that none of its member could perform autonomously with same effectiveness. We use a knowledge-based approach: we define an ontology for modelling robot capabilities and, using description logics reasoning systems, we realize a procedure that yields a partition of a team of robots in coalitions that improves the overall team performances. Copyright © held by author
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