1,720,958 research outputs found
A complete ground and flight software ecosystem for operations of autonomous satellites
The commercial competition in space exploration is increasing, which requires more efficient and scalable space missions. Autonomous satellites are emerging as an answer to this challenge. Their development became possible thanks to the increased processing power available on board to sustain onboard intelligence. However, autonomous satellites cannot be operated through traditional processes. Instead, current mission operations must adapt to this paradigm shift to fully exploit the new capabilities. Operations of autonomous satellites will be enabled by an ecosystem of software applications, which consists of both ground and flight components, covering activity planning, health monitoring, and guidance navigation and control. Flight applications enable spacecraft autonomy, whereas ground applications support the operations of autonomous satellites and further streamline the process with additional functionalities. A crucial point relies on the interaction among all components, which must integrate to build a unique process. The amount of work and results produced in recent years by academic and research institutions, as well as industry players, show that the required technology is coming to maturity, with the emergence of the first commercial solutions for mission autonomy
Robust real-time monitoring of human task advancement for collaborative robotics applications
A crucial problem in human-robot collaboration is to achieve seamless coordination among the agents. Robots have to adapt to human behaviour, which is highly uncertain. In fact, humans can perform each task in many ways and with different speeds, occasional errors and short pauses. This paper offers a robust method to monitor the advancement of the current human activity in real-time in order to predict its duration. The algorithm learns online templates of new variants of the task and uses them as references for a Dynamic Time Warping-based algorithm. The proposed strategy has been tested within a realistic assembly task. Results show its ability to give accurate predictions also in case of peculiar variants, such as those associated with errors
Flexible scheduling and tactile communication for human-robot collaboration
Human-robot collaboration (HRC) is expected to add flexibility and agility to production lines in manufacturing plants. In this context, versatile scheduling algorithms are needed to organize the increasingly complex workflow and to exploit the gained flexibility, ensuring the optimal use of resources and the smart management of failures. Moreover, intuitive user interfaces are needed to communicate with the human worker, informing him/her of the next operation to perform. Usually, grounded or wearable screens are used to this aim. Whenever human sight is impaired or needs to be free, other sensory channels could be used as well. In this work, we present a new dynamic scheduler that adapts to the system variability, and a novel way of communicating instructions to the human operators based on haptic guidance. The proposed strategies were applied to a complex assembly task involving three agents and compared to baseline methods with an experimental campaign involving 16 subjects. Results show the clear advantage of using dynamic scheduling over the static one and suggest that a combination of visual and tactile stimuli is a viable and effective solution for displaying instructions in complex HRC scenarios
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
Robotic handling of liquids with spilling avoidance: a constraint-based control approach
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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