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jobs [2022/07/25 10:09] – [Theses and Student Jobs] danielb | jobs [2023/08/01 12:04] – [Theses and Student Jobs] hoanggia | ||
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=====Open researcher positions===== | =====Open researcher positions===== | ||
- | We are currently offering multiple open researcher job positions in the context of our project Intel4CoRo. | + | {{blog>: |
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=====Theses and Student Jobs===== | =====Theses and Student Jobs===== | ||
If you are looking for a bachelor/ | If you are looking for a bachelor/ | ||
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- | == Representing knowledge in a robot-agnostic ontology system | + | == Scene Format Conversion Tool for Robotics Simulation |
- | The thesis will be jointly supervised by German Aerospace Center (DLR) in Munich and the Institute for Artificial Intelligence (IAI) at the University of Bremen. | + | **Motivation: |
- | Tasks: | + | With robotics playing a significant role in various domains, simulation is essential for developing and testing algorithms. Multiple simulators are available, each with its own specialized format |
- | * Investigate about existing ontologies, like the Socio-physical Model of Activities (SOMA) from the University of Bremen. | + | |
- | * Refactor an existing knowledge database | + | |
- | * Use the ontology | + | |
- | Contact: [[team: | + | {{:multiformat.png? |
- | == Linking saref to SOMA (BA Thesis) == | + | **Task Description: |
- | Wissensrepräsentation: | + | The objective of this project is to develop a universal parser capable of converting scene descriptions between common formats. The following key steps are involved: |
- | Aufgaben: | + | - Create a model to represent and store the scene graph. |
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- | | + | - Implement export functions for the model to generate scene descriptions in any of the supported formats. |
- | * Abfrage mit KnowRob (Prolog) für autonome Roboter | + | |
+ | **Requirements: | ||
- | Contact: [[team: | + | * A strong passion for robotics. |
+ | * Dedication to the chosen topic. | ||
+ | * Eager to learn. | ||
- | == Case Study: Wissen zu Produkt-Aufbewahrungsorten aus dem Internet beziehen (BA Thesis) == | + | Contact: [[team: |
- | In dieser Thesis soll untersucht werden, ob die Autonomie von Robotern durch Integration von Wissen zu Aufbewahrungsorten von Produkten aus dem Internet erhöht werden kann. Es gibt verschiedene websites, die Wissen dazu bereitstellen. Dieses Wissen soll von den websites abgefragt und anschließend sinnvoll ontologisiert werden. Anhand verschiedener Fragen werden die Ergebnisse evaluiert (Menge der erworbenen Informationen/ | + | == Generating Comics about Everyday Experiences of a Robot (BA Thesis) == |
- | Aufgaben: | + | Summary: |
- | * Wissensakquise aus dem Internet | + | * Query experience data from an existing database |
- | * Wissensrepräsentation/ | + | * Retrieve situations of interest |
- | * Vergleich mit bestehenden Ontologien/ Arbeiten und manuell erstellten Ontologien | + | * Recreate the scene in a 3D environment |
- | * Sinnvolle, automatisierte Abfrage des neu gewonnenen Wissens | + | * Apply a comic shader |
+ | * Find good camera position for moments of interest | ||
+ | * Generate a PDF summarizing the experiences as a comic strip | ||
- | + | Contact: [[team:daniel_bessler|Daniel Beßler]] | |
- | Contact: [[team:michaela_kümpel|Michaela Kümpel]] | + | |
== Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) == | == Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) == | ||
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Contact: [[team: | Contact: [[team: | ||
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+ | == Integration von Nährwertangaben für Rezepte in bestehende Website (BA Thesis) == | ||
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+ | In dieser Arbeit soll eine bestehende Website mit Nährwertangaben und Zusatzfunktionalität zu Produkten um eine Nährwertangabe zu Rezepten erweitert werden. Es handelt sich um folgende website: productkg.informatik.uni-bremen.de | ||
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+ | Die Aufgaben dazu sind: | ||
+ | * Vergleich von bestehenden Lösungen. | ||
+ | * Erweiterung einer Ontologie um Nährwertangaben. | ||
+ | * Erweiterung der Website. | ||
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+ | Contact: [[team: | ||
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< | < |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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