The Institute for Artificial Intelligence (IAI) investigates methods for cognition-enabled robot control. The research is at the intersection of robotics and Artificial Intelligence and includes methods for intelligent perception, dexterous object manipulation, plan-based robot control, and knowledge representation for robots.

As a researcher of the IAI, you actively research by applying and extending the elaborated methods and tools of the IAI (e.g., CRAM, KnowRoB, and openEASE) to the uncertainties of limited resources, computation, and sensor data of submarine robots. You develop a Digital Twin that simulates harsh continuously evolving environments and service tasks on real robots. You design a detailed representation of an environment to be inspected, including data coming from past inspections, both similar and different (e.g., transfer learning from an inspection of the interior of an installation). Your research will be especially the environment representation, semantic annotation, and sensor data fusion deal with noisy data and unreliable information in dynamic environments. You work with IAI researchers and engineers of the ROSEN Group, implementing a service for underwater pipeline inspection and maintenance.

Prerequisites: You have a strong background in some of the following fields:

• Digital Twins
• Knowledge Representation
• Data structures
• Data Stream Representation.

Hiring institution: University of Bremen

PhD Enrollment: PhD position in the Institute for Artificial Intelligence at University of Bremen. The project involves collaboration with ROSEN in Bremen and UiO in Oslo.

The PhD examination acceptance requires a “Certificate of Equivalence for Foreign Vocational Qualifications”. More information available at https://www.kmk.org/zab/central-office-for-foreign-education/certificate-of-equivalence.html and https://www.uni-bremen.de/fileadmin/user_upload/sites/international/Studieren_in_Bremen/AnerkennungPromotion.pdf . Obtaining such a certificate is not necessary for the job application, but it is required later in the recruitment process.

Duration of the project: 36 months

Main Academic Supervisor: Prof. Michael Beetz, contact: beetz@cs.uni-bremen.de

Co-supervisors: prof. Einar Broch Johnsen (UiO, Norway), dr. Peter Kampmann (ROSEN, Germany)

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.

Weiterentwicklung eines sprachgesteuerten Leitsystems zu gesuchten Produkten im Einzelhandel für Smartphones (Android) basierend auf Ankerpunkten und einer Anbindung an Wissensgraphen. Dabei wird auf bestehende Apps aufgebaut.

Aufgaben:

• App Entwicklung mit der Unity game engine und Flutter
• Erweiterung der Sprachsteuerung
• Arbeit mit Wissensrepräsentation und Wissensgraphen für die Sprachsteuerung

Contact: Michaela Kümpel

Weiterentwicklung eines Produktinformationssystems im Einzelhandel für Smartphones (Android) um eine Sprachauswahl. Anzeige der jeweiligen Informationen in der gewünschten Sprache. Dabei wird auf bestehende Apps aufgebaut.

Aufgaben:

• App Entwicklung mit der Unity game engine und Flutter
• Erweiterung der App um eine Sprachauswahl
• Arbeit mit Wissensrepräsentation und Wissensgraphen für Sprachmodellierung

Contact: Michaela Kümpel

This is a knowledge representation topic including knowledge graphs. The idea is so link external Web-knowledge to an existing knowledge framework in order to include situational awareness so that a robot acting in a household environment can infer what an object is used for in a given situation.

A result would be that a spoon next to a bowl with cereal would be used for eating while a spoon on a stove next to a pot would be used for stirring.

requirements:

• Work with KnowRob knowledge processing framework
• Work with knowledge graphs and Linked Data to create a situational awareness knowledge graph that can be linked to KnowRob
• Implement reasoning about situations (based on perceived environment) and object use

Contact: Michaela Kümpel

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. One particular research direction, is the combination of computer vision with game engines. In this context, we are currently offering multiple Hiwi positions 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.
• Software development to create Interfaces between ROS and Unreal Engine 4 (mainly C++)
• Software development for our Robot Perception framework RoboSherlock which contains many algorithms for computer vision problems (mainly C++)

Contact: Patrick Mania