Hochschule Bonn-Rhein-Sieg

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    7939 research outputs found

    Performance Characterization of Imaging 3D Measurement Systems

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    Performance Characterization of seven Imaging 3D Measurement Systems. Four iToF-cameras, one structured light camera and one active stereo camera. Namely Basler Blaze 101, pmd Picoflexx 2, Schmersal AM-T100, Melexis MLX75027, Microsoft Azure Kinect, Microsoft Kinect for Xbox360 (Kinect V1), and Intel Realsense D455

    Wissenschaftskommunikation als medienästhetische Praxis: Zur Formatentwicklung im ‚spielenden’ Labor

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    Der vorliegende Beitrag unternimmt den Versuch, Wissenschaftskommunikation auch als medienästhetische Praxis zu lesen, indem die Entwicklung eines spielerischen Formats in einem geisteswissenschaftlichen Forschungslabor untersucht wird. Das Labor wird dabei als ein Hybrid zwischen räumlichem Format und akademischer Formation verstanden, dessen Gestaltung, Ausstattung und spezifische Praktiken miteinander verflochten sind. Im Fokus steht daher die dynamische Interaktion zwischen Raum und Akteur:innen, die als interdependentes System begriffen wird, das fünf Praktiken – Dokumentieren, Forschen, Spielen, Verhandeln und Produzieren – umfasst. Verdeutlicht werden diese Praktiken am Beispiel der Entwicklung eines Brettspiels als Format der Wissenschaftskommunikation, was mittels ethnografischer Methoden begleitet und dokumentiert wird. Anhand dieses Fallbeispiels wird schließlich das Innovationspotential des Spiels als (Forschungs-)Format, (Forschungs-)Methode und (Forschungs-)Gegenstand reflektiert. Dieser Rahmen bildet, so die Perspektive, schließlich eine spezifische ‚Labor-Atmosphäre‘ heraus. Mithin lässt sich ein solches ‚Spiel-Labor‘ als experimenteller Raum charakterisieren, der konventionelle Methoden mit ästhetischen Explorationen konfrontiert

    Garrulus Field-D Semantic Segmentation Dataset

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    The Garrulus Field-D dataset represents a 0.3-hectare post-harvest area located in the Arnsberg Forest, Germany. Data was acquired using an Unmanned Aerial Vehicle (UAV), and the area was reconstructed into a geo-referenced RGB orthomosaic with a spatial resolution of approximately 10 cm per pixel

    Towards Autonomous Object Substitution by Domestic Service Robots

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    The success of any agent, human or artificial, ultimately depends on their successfully accomplishing the given goals. Agents may, however, fail to do so for many reasons. With artificial agents, such as robots, this may be due to internal faults or exogenous events in the complex, dynamic environments in which they operate. The bottom line is that plans, even good ones, can fail. Despite decades of research, effective methods for artificial agents to cope with plan failure remain limited and are often impractical in the real world. One common reason for failure that plagues agents, human and artificial alike, is that objects that are expected to be used to get the job done are often found to be missing or unavailable. Humans might, with little effort, accomplish their tasks by making substitutions. When they are not sure if an object is available, they may even proceed optimistically and switch to making a substitution when they confirm that an object is indeed unavailable. In this work, the system uses Description Logics to enable open-world reasoning --- making it possible to distinguish between cases where an object is missing/unavailable and cases where the failure to even generate a plan is due to the planner's use of the closed-world assumption (where the fact stating that something is true is missing from its knowledge base and so it is assumed to be not true). This ability to distinguish between something being missing and having incomplete information enables the agent to behave intelligently: recognising whether it should identify and then plan with a suitable substitute or create a placeholder, in the case of incomplete information. By representing the functional affordances of objects (i.e. what they are meant to be used for), socially-expected and accepted object substitutions are made possible. The system also uses the Conceptual Spaces approach to provide feature-based similarity measures that make the given task a first-class citizen in the identification of a suitable substitute. The generation of plans to `get the job done' is made possible by incorporating the Hierarchical Task Network planning approach. It is combined with a robust execution/monitoring system and contributes to the success of the robot in achieving its goals

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