On inferring intentions in shared tasks for industrial collaborative robots

Inferring human operators' actions in shared collaborative tasks, plays a crucial role in enhancing the cognitive capabilities of industrial robots. In all these incipient collaborative robotic applications, humans and robots not only should share space but also forces and the execution of a task. In this article, we present a robotic system which is able to identify different human's intentions and to adapt its behavior consequently, only by means of force data. In order to accomplish this aim, three major contributions are presented: (a) force-based operator's intent recognition, (b) force-based dataset of physical human-robot interaction and (c) validation of the whole system in a scenario inspired by a realistic industrial application. This work is an important step towards a more natural and user-friendly manner of physical human-robot interaction in scenarios where humans and robots collaborate in the accomplishment of a task.Peer ReviewedPostprint (published version

Implementation and Effects of LDC and MDC in Kentucky Districts

This brief summarizes early evidence on the success of two tools Kentucky districts have used to support their teachers' transition to these more demanding goals: Literacy Design Collaborative (LDC) and Math Design Collaborative (MDC). With support from the Bill and Melinda Gates Foundation, LDC and MDC tools have been designed and implemented to embody the key shifts in teaching and learning that the new standards demand. By implementing the tools, teachers then engage in new pedagogy and address relevant learning goals of the Kentucky Core Academic Standards

Online discussion compensates for suboptimal timing of supportive information presentation in a digitally supported learning environment

This study used a sequential set-up to investigate the consecutive effects of timing of supportive information presentation (information before vs. information during the learning task clusters) in interactive digital learning materials (IDLMs) and type of collaboration (personal discussion vs. online discussion) in computer-supported collaborative learning (CSCL) on student knowledge construction. Students (N = 87) were first randomly assigned to the two information presentation conditions to work individually on a case-based assignment in IDLM. Students who received information during learning task clusters tended to show better results on knowledge construction than those who received information only before each cluster. The students within the two separate information presentation conditions were then randomly assigned to pairs to discuss the outcomes of their assignments under either the personal discussion or online discussion condition in CSCL. When supportive information had been presented before each learning task cluster, online discussion led to better results than personal discussion. When supportive information had been presented during the learning task clusters, however, the online and personal discussion conditions had no differential effect on knowledge construction. Online discussion in CSCL appeared to compensate for suboptimal timing of presentation of supportive information before the learning task clusters in IDLM

Investigating mathematical investigations

There are good reasons why we may involve the students in doing mathematics investigations. Recent curricula encourage this sort of activity but we notice that its application in the classroom is not a simple matter. We discuss the issues that arise when students are presented with investigative tasks, with special interest in the dynamics of the classroom and in the role of the teacher. Our aim is to derive suggestions for classroom practice as well as for further research and teacher development

Innovation Process is Facilitated in Virtual Environment of R&D Teams

Innovation is becoming the most important key issue for company's success in the 21st century. In the competitive environment it is necessary for the enterprises to put together different capabilities and services with the goal. It is widely accepted that innovation can be better achieved by working in team particularly in the virtual environments. The employed web services technology, although very popular nowadays but it is still not mature enough, so dealing with it can bring new findings. Virtual teams base on information technology are formed to facilitate transnational innovation processes and it should be noted that innovation has a positive impact on corporate performance if it is well guided. This has the pronounced effect when it comes to the learning issues as the virtual preconditions persist. In this environment the possibility of getting closer to the interest of learner from the new environment raise as the barriers being imposed by the service provider is reduced and the freedom of what is require to learn is improved. Information and communication technology has brought about significant changes in organizations and produced important benefits, including in the areas of innovation which is recognized as a prime source of national competitive advantage. This contribution proposes a conceptual model for understanding and analyzing the process of virtual R&D team as an innovation and technology assimilation facilitator when it comes to the issue of conveying innovative message for learning by individuals. The context of the knowledge-based economy introduces a major shift from serial to simultaneous R&D in the way of idea conception to technology creation is conceived. This paper briefly reviews the existing perspectives on virtual teams and their effect on innovation and technology regarding the learning capability which is being altered. It also discusses the main characteristics of virtual teams and clarifies the different aspects of virtual team application in the topic. To support the theoretical analysis, this paper provides a comprehensive review based on authentic and reputed publications. We argue that scanty research has been conducted to facilitate understanding the problem of systematically governing creative innovation toward a technology through virtual R&D teams in the atmosphere of educating individuals based on what they interest them to learn.Virtual team; e-learning; Innovation; Research and development, Learning

In vitro increased respiratory activity of selected oral bacteria may explain competitive and collaborative interactions in the oral microbiome

Understanding the driving forces behind the shifts in the ecological balance of the oral microbiota will become essential for the future management and treatment of periodontitis. As the use of competitive approaches for modulating bacterial outgrowth is unexplored in the oral ecosystem, our study aimed to investigate both the associations among groups of functional compounds and the impact of individual substrates on selected members of the oral microbiome. We employed the Phenotype Microarray high-throughput technology to analyse the microbial cellular phenotypes of 15 oral bacteria. Multivariate statistical analysis was used to detect respiratory activity triggers and to assess similar metabolic activities. Carbon and nitrogen were relevant for the respiration of health-associated bacteria, explaining competitive interactions when grown in biofilms. Carbon, nitrogen, and peptides tended to decrease the respiratory activity of all pathobionts, but not significantly. None of the evaluated compounds significantly increased activity of pathobionts at both 24 and 48 h. Additionally, metabolite requirements of pathobionts were dissimilar, suggesting that collective modulation of their respiratory activity may be challenging. Flow cytometry indicated that the metabolic activity detected in the Biolog plates may not be a direct result of the number of bacterial cells. In addition, damage to the cell membrane may not influence overall respiratory activity. Our methodology confirmed previously reported competitive and collaborative interactions among bacterial groups, which could be used either as marker of health status or as targets for modulation of the oral environment