3,507 research outputs found

    Flexible Supervised Autonomy for Exploration in Subterranean Environments

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    While the capabilities of autonomous systems have been steadily improving in recent years, these systems still struggle to rapidly explore previously unknown environments without the aid of GPS-assisted navigation. The DARPA Subterranean (SubT) Challenge aimed to fast track the development of autonomous exploration systems by evaluating their performance in real-world underground search-and-rescue scenarios. Subterranean environments present a plethora of challenges for robotic systems, such as limited communications, complex topology, visually-degraded sensing, and harsh terrain. The presented solution enables long-term autonomy with minimal human supervision by combining a powerful and independent single-agent autonomy stack, with higher level mission management operating over a flexible mesh network. The autonomy suite deployed on quadruped and wheeled robots was fully independent, freeing the human supervision to loosely supervise the mission and make high-impact strategic decisions. We also discuss lessons learned from fielding our system at the SubT Final Event, relating to vehicle versatility, system adaptability, and re-configurable communications.Comment: Field Robotics special issue: DARPA Subterranean Challenge, Advancement and Lessons Learned from the Final

    Leading Undergraduate Students to Big Data Generation

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    People are facing a flood of data today. Data are being collected at unprecedented scale in many areas, such as networking, image processing, virtualization, scientific computation, and algorithms. The huge data nowadays are called Big Data. Big data is an all encompassing term for any collection of data sets so large and complex that it becomes difficult to process them using traditional data processing applications. In this article, the authors present a unique way which uses network simulator and tools of image processing to train students abilities to learn, analyze, manipulate, and apply Big Data. Thus they develop students handson abilities on Big Data and their critical thinking abilities. The authors used novel image based rendering algorithm with user intervention to generate realistic 3D virtual world. The learning outcomes are significant

    Situated Technologies

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    Architecture's privileged position as the technology of space-making is challenged by the current proliferation of a wide range of mobile, embedded, networked and distributed media, communication and information systems. Our interactions with (and through) these location-based, context-aware and otherwise ”situated” technologies are beginning to alter the way we perceive, navigate and socialize within the built environment. Prompting a reconfiguration of material boundaries, organizational adjacencies, and public/private relations, these technologies (and the ways in which we engage them) have significant implications for how we conceive, design and experience space. In this paper, we identify three vectors for architectural research that explore the spatial opportunities presented by what we call Situated Technologies. Working across the overlapping boundaries of media, architecture and computing, this research attempts to articulate how architects might play a critical role in shaping evolving techno-social spaces increasingly governed by both material and immaterial processes. As exploratory research, it aims less to propose solutions to known problems than to arrive at precise questions that help us better identify and structure new problems for architecture presented by recent developments in ubiquitous/ pervasive computing
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