4,182 research outputs found

    JNER at 15 years: analysis of the state of neuroengineering and rehabilitation.

    Get PDF
    On JNER's 15th anniversary, this editorial analyzes the state of the field of neuroengineering and rehabilitation. I first discuss some ways that the nature of neurorehabilitation research has evolved in the past 15 years based on my perspective as editor-in-chief of JNER and a researcher in the field. I highlight increasing reliance on advanced technologies, improved rigor and openness of research, and three, related, new paradigms - wearable devices, the Cybathlon competition, and human augmentation studies - indicators that neurorehabilitation is squarely in the age of wearability. Then, I briefly speculate on how the field might make progress going forward, highlighting the need for new models of training and learning driven by big data, better personalization and targeting, and an increase in the quantity and quality of usability and uptake studies to improve translation

    Building Teen Futures with Underwater Robotics

    Get PDF
    Preparing young Americans with science and technology skills has been on the forefront of educational reform for several years, and Extension has responded. Robotics projects have become a natural fit for 4-H clubs, with members\u27 experiences ranging from using Lego® Mindstorms® and other purchase and assemble robotics kits to building and programming robots from raw materials. This article addresses one such club\u27s impacts on educational engagement, career trajectory, and life skills development. An annotated resource list for engaging youth in building underwater robots is provided in the Tools of the Trade article Resources for Underwater Robotics Education in this issue of the Journal of Extension

    HSx Homeland Security: Artificial Intelligence & Machine Learning

    Get PDF
    Includes a list of related educational materials

    Mapping AI Arguments in Journalism Studies

    Full text link
    This study investigates and suggests typologies for examining Artificial Intelligence (AI) within the domains of journalism and mass communication research. We aim to elucidate the seven distinct subfields of AI, which encompass machine learning, natural language processing (NLP), speech recognition, expert systems, planning, scheduling, optimization, robotics, and computer vision, through the provision of concrete examples and practical applications. The primary objective is to devise a structured framework that can help AI researchers in the field of journalism. By comprehending the operational principles of each subfield, scholars can enhance their ability to focus on a specific facet when analyzing a particular research topic

    Undergraduate Design Experiences in the TransAtlantic Biosystems Engineering Network (TABE.NET)

    Get PDF
    Trans-Atlantic Biosystems Engineering Network (TABE.NET) has been established with the overall goal to advance internationalization of Biosystems Engineering (BSEN) curricula and develop a global awareness within the discipline. The participating institutions are Virginia Polytechnic Institute and State University (VT), University of Illinois at Urbana-Champaign (UIUC), University College Dublin (UCD), Agricultural University of Athens (AUA), Universidad Politecnica de Madrid (UPM), and University of Bari (UniBar). A working group is exploring the potential to develop an international collaborative design project for undergraduate students in the participating institutions. This paper summarizes the first step in the process by examining current course structures and design experiences across the network. There is a clear trend towards problem-based learning in real-life type design projects in team environments. There is potential for a collaborative undergraduate design activity across the network but further discussion and analysis is required

    Multi-Agent Task Allocation for Robot Soccer

    Get PDF
    This is the published version. Copyright De GruyterThis paper models and analyzes task allocation methodologies for multiagent systems. The evaluation process was implemented as a collection of simulated soccer matches. A soccer-simulation software package was used as the test-bed as it provided the necessary features for implementing and testing the methodologies. The methodologies were tested through competitions with a number of available soccer strategies. Soccer game scores, communication, robustness, fault-tolerance, and replanning capabilities were the parameters used as the evaluation criteria for the mul1i-agent systems

    The Circuit, Spring 2017

    Get PDF
    Table of Contents: Early Career Awards Spotlighting: Leonard Bohman Visiting Faculty Bridging Past and Future Through Automation Robotics Systems Enterprise Inspiring the Next Generation Tech Team Wins Team Tech Ramping Up Automotive Controls Bucheger Moves Senior Design Forward Student News Alumni Newshttps://digitalcommons.mtu.edu/ece-newsletters/1004/thumbnail.jp

    Resources for Underwater Robotics Education

    Get PDF
    4-H clubs can build and program underwater robots from raw materials. An annotated resource list for engaging youth in building underwater remotely operated vehicles (ROVs) is provided. This article is a companion piece to the Research in Brief article Building Teen Futures with Underwater Robotics in this issue of the Journal of Extension

    The Leading Object: November/December 2008

    Get PDF
    Perspectives; National Science Foundation grant advances4-H robotics curriculum; Extension dean named to CSREES Hall of Fame; UNL genetics course spurs Hoegemeyer’s interest in plant breeding; Holly completes PGA education; Faculty members visit Zamorano University in Honduras; Retirement opens new chapter for Mayo; Hamernik, Jackson named associate ARD deans; Osborne presents leadership award

    Multi-Robot Systems: Challenges, Trends and Applications

    Get PDF
    This book is a printed edition of the Special Issue entitled “Multi-Robot Systems: Challenges, Trends, and Applications” that was published in Applied Sciences. This Special Issue collected seventeen high-quality papers that discuss the main challenges of multi-robot systems, present the trends to address these issues, and report various relevant applications. Some of the topics addressed by these papers are robot swarms, mission planning, robot teaming, machine learning, immersive technologies, search and rescue, and social robotics
    corecore