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If you are looking for a bachelor/master thesis or a job as a student research assistant, you may find some interesting opportunities on this page.

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.

Summary:

• Investigate about existing ontologies, like the Socio-physical Model of Activities (SOMA) from the University of Bremen.
• Refactor an existing knowledge database (known as the Object DataBase, ODB) used by the DLR into an ontology.
• Use the ontology to design tasks in the assistive robotics domain using assistive robots provided by the DLR

Full offer:

offer_2020-01_op2_wedanjustin.pdf

Contact: Daniel Beßler

Wissensrepräsentation: Semantische Integration der saref Ontology (https://ontology.tno.nl/saref/) für smart devices in SOMA (https://ease-crc.github.io/soma/). Ziel dabei ist es, dass Roboter anhand von ein paar Beispielszenarien (z.B. Zubereitung von Popcorn/ Pizza) Fehler autonom finden können (z.B. Electricity ist aus → deswegen wird der Herd nicht warm und Popcorn poppt nicht).

Aufgaben:

• Arbeit mit Wissensrepräsentation und Wissensgraphen
• Wissensakquisition aus web-Quellen
• Abfrage mit KnowRob (Prolog) für autonome Roboter

Contact: Michaela Kümpel

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/ Nutzen der Information, v.a. für autonome Roboter…)

Aufgaben:

• Wissensakquise aus dem Internet
• Wissensrepräsentation/ Modellierung: Ontologisierung des Wissens
• Vergleich mit bestehenden Ontologien/ Arbeiten und manuell erstellten Ontologien
• Sinnvolle, automatisierte Abfrage des neu gewonnenen Wissens

Contact: Michaela Kümpel

In this thesis, the goal is to make a robotic system learn new objects automatically. The system should be able to generate the necessary models required for re-detecting it again and also consult online information sources to automatically acquire knowledge about it.

The focus of the thesis would be two-fold:

• Develop methods to automatically infer the object class of new objects. This would include perceiving it with state of the art sensors, constructing a 3d model of it and then infer the object class from online information sources.
• In the second step the system should also infer factual knowledge about the object from the internet and assert it into a robotic knowledgebase. Such knowledge could for example include the category of this product, typical object properties like its weight or typical location and much more.

Requirements:

• Knowledge about sensor data processing
• Interest in model construction from sensory data
• Work with KnowRob knowledge processing framework

Contact: Patrick Mania

A recent development in the field of AI is the usage of photorealistic simulations, for example to create Digital Twins of environments like households or factories. In our research group, we focus on the development of modern robots that can make use of the potential of game engines. This requires a high degree of specialized game engine plugins that can simulate certain aspects of our research. Another important task is the creation of 3d models.

Therefore, we are currently offering multiple Hiwi positions / student jobs for the following tasks:

• Modelling of objects for the use in Unreal Engine 4.
• Creation of specific simulation aspects in Unreal Engine 4. For example the development of interactable objects.

Requirements:

• Knowledge of 3D-Modelling tools. Blender would be highly preferred.
• Experience in Game Engine development. Ideally Unreal Engine 4 and C++.

The spoken language in this job is german or english, based on your preference.

Contact: Patrick Mania