Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
jobs [2015/03/19 13:20] – [Theses and Jobs] raider | jobs [2021/03/01 09:47] – [Theses and Student Jobs] kording | ||
---|---|---|---|
Line 1: | Line 1: | ||
~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | ====Digital Twin Knowledge Base for submarine robot inspection/ | ||
+ | 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, | ||
- | == GPU-based Parallelization | + | As a researcher |
- | In the field of Machine Learning, numerical optimization techniques play a focal role. However, as models grow larger, traditional implementations on single-core CPUs suffer from sequential execution causing a severe slow-down. In this thesis, state-of-the-art GPU frameworks (e.g. CUDA) are to be investigated in order implement numerical optimizers that substantially profit from parallel execution. | + | **Prerequisites: |
+ | * Digital Twins | ||
+ | * Knowledge Representation | ||
+ | * Data structures | ||
+ | * Data Stream Representation. | ||
- | Requirements: | + | **Hiring institution:** University of Bremen |
- | | + | |
- | | + | |
- | Contact: [[team: | + | **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. |
- | == Online Learning | + | The PhD examination acceptance requires a “Certificate |
- | Markov Logic Networks (MLNs) combine the expressive power of first-order logic and probabilistic graphical models. In the past, they have been successfully applied to the problem of semantically interpreting and completing natural-language instructions from the web. State-of-the-art learning techniques mostly operate in batch mode, i.e. all training instances need to be known in the beginning of the learning process. In context of this thesis, online learning methods for MLNs are to be investigated, | + | **Duration |
- | Requirements: | + | **Main Academic Supervisor:** Prof. Michael Beetz, contact: beetz@cs.uni-bremen.de |
- | | + | |
- | | + | |
- | * Good programming skills in Python. | + | |
- | Contact: [[team: | + | **Co-supervisors:** prof. Einar Broch Johnsen (UiO, Norway), dr. Peter Kampmann (ROSEN, Germany) |
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
- | ==HiWi-Position: | ||
- | In the context of the European research project RoboHow.Cog [1,2] we | ||
- | are investigating methods for combining multimodal sources of knowledge (e.g. video, natural-language recipes or computer games), in order to enable mobile robots to autonomously acquire new high level skills like cooking meals or straightening up rooms. | ||
- | The Institute | + | < |
- | development | + | == Knowledge-enabled PID Controller |
+ | |||
+ | Implementing | ||
+ | of the human user will be mapped | ||
+ | The controller should be able to dynamically tune itself depending on the executed actions (opening/ | ||
+ | |||
+ | Requirements: | ||
+ | * Good C++ programming skills | ||
+ | * Familiar with PID controllers and control theory | ||
+ | * Experience with simulators/ | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | |||
+ | Contact: [[team: | ||
+ | --></ | ||
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | == Natural Physics-based Grasping in Virtual Environments (BA/MA Thesis) == |
- | Tasks: | + | Implementing physics-based grasping models in virtual environments, |
- | * Implementation of an interface to the Robot Operating System (ROS). | + | from various devices such as Manus VR or Valve Index. |
- | * Linkage of the knowledge base to the executive of the robot. | + | |
- | * Support for the scientific staff in extending and integrating components onto the robot platform PR2. | + | |
Requirements: | Requirements: | ||
- | * Studies in Computer Science (Bachelor' | + | * Good C++ programming skills |
- | * Basic skills in Artificial Intelligence | + | * Familiar with skeletal animations |
- | * Optional: basic skills in Probability Theory | + | * Experience with simulators/ |
- | * Optional: basic skills in Machine Learning | + | * Familiar with Unreal Engine API |
- | * Good programming skills in Python and Java | + | * Familiar with version-control systems (git) |
+ | * Able to work independently with minimal supervision | ||
- | Hours: 10-20 h/week | + | Contact: [[team: |
- | Contact: [[team: | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | [1] www.robohow.eu\\ | + | Technical support for the group for Lisp and the CRAM framework. \\ |
- | [2] http:// | + | 8+ hours per week for up to 1 year (paid). |
+ | Requirements: | ||
+ | * Good programming skills in Common Lisp | ||
+ | * Basic ROS knowledge | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | + | The student will be introduced to the CRAM framework at the beginning of the job, which is a robot programming framework written in Lisp. The student will then be responsible for assisting not familiar with the framework people, explaining them the parts they don't understand and pointing them to the relevant documentation sources. |
- | {{ : | + | |
- | Developing new activities and improving the current simulation framework done under the [[http:// | + | Contact: |
+ | --></ | ||
+ | |||
+ | < | ||
+ | == Mesh Editing / Mesh Segmentation/ | ||
+ | {{ : | ||
+ | |||
+ | | ||
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good knowledge |
- | * Basic physics/rendering engine knowledge | + | * Familiar with Blender |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: [[team: | + | Contact: [[team/ |
+ | --></ | ||
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | ||
- | {{ : | ||
- | Integrating the eye tracker | + | == 3D animation and model developer (Student Job / HiWi)== |
+ | {{ : | ||
+ | |||
+ | Developing and improving existing or new 3D (static/ | ||
+ | models | ||
+ | models against Unreal Engine. | ||
+ | |||
+ | Bonus: Working with state of the art 3D Scanners | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Experience with Blender |
- | * Gazebo simulator basic tutorials | + | * Knowledge of Unreal Engine material / lightning development |
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | ||
- | {{ : | ||
- | Improving | + | < |
+ | == Integrating PR2 in the Unreal Game Engine Framework (BA/MA/HiWi)== | ||
+ | {{ : | ||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | Integrating |
Requirements: | Requirements: | ||
* Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
+ | * Basic physics/ | ||
+ | * Basic ROS knowledge | ||
+ | * UE4 basic tutorials | ||
Contact: [[team: | Contact: [[team: | ||
- | == Fluid Simulation in Gazebo (BA/MA)== | ||
- | {{ : | ||
- | [[http://gazebosim.org/ | + | == Realistic Grasping using Unreal Engine (BA/MA/HiWi) == |
- | Currently there is an [[http://gazebosim.org/ | + | {{ |
- | The computational method for the fluid simulation | + | The objective of the project |
- | and should be implemented (PCISPH/IISPH). | + | ious human-like grasping approaches in a game developed using [[https:// |
- | The interaction between | + | The game consist of a household environment where a user has to execute various given tasks, such as cooking a dish, setting |
- | Another topic would be the visualization | + | In order to improve |
+ | be able to switch during runtime the type of grasp (pinch, power | ||
+ | grasp, precision grip etc.) he/she would like to use. | ||
+ | |||
+ | Requirements: | ||
+ | * Good programming skills in C++ | ||
+ | * Good knowledge of the Unreal Engine API. | ||
+ | * Experience with skeletal control / animations / 3D models in Unreal Engine. | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | |||
+ | |||
+ | Contact: | ||
+ | --></ | ||
+ | |||
+ | < | ||
+ | == Unreal Engine Editor Developer (Student Job / HiWi)== | ||
+ | {{ : | ||
+ | |||
+ | Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework [[https://docs.unrealengine.com/ | ||
- | Here is a [[https:// | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
- | * Interest in Fluid simulation | + | * Familiar with the [[https:// |
- | * Basic physics/ | + | * Familiar with Unreal Engine API |
- | * Gazebo simulator and Fluidix basic tutorials | + | * Familiar with version-control systems (git) |
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
- | == Automated sensor calibration toolkit (MA)== | ||
- | Computer vision is an important part of autonomous robots. For robots the image sensors are the main source of information of the surrounding world. Each camera is different, even if they are from the same production line. For computer vision, especially for robots manipulating their environment, | + | == OpenEASE rendering |
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | ||
- | The system should: | + | Implmenting |
- | * be independent of the camera type | + | |
- | * estimate intrinsic and extrinsic parameters | + | |
- | * calibrate depth images (case of RGB-D) | + | |
- | * integrate capabilities from Halcon | + | |
- | * operate autonomously | + | |
- | Requirements: | + | Requirements: |
- | * Good programming skills | + | * Good C++ programming skills |
- | * ROS, OpenCV | + | * Familiar with Unreal Engine API |
+ | * Familiar with HTML5 and JavaScript | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with basic ROS communication | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | [1] http:// | + | Contact: |
- | Contact: [[team: | + | < |
+ | == Knowledge-enabled PID Controller for 3D Hand Movements in Virtual Environments (BA/MA Thesis) == | ||
- | == On-the-fly 3D CAD model creation | + | Implementing a force-, velocity- and impulse-based PID controller for precise and responsive hand movements in a virtual environment. The virtual environment used in Unreal Engine in combination with Virtual Reality devices. The movements |
+ | of the human user will be mapped to the virtual hands, and controlled via the implemented PID controllers. | ||
+ | The controller should be able to dynamically tune itself depending on the executed actions (opening/ | ||
- | Create models during runtime for unknown textured objets based on depth and color information. Track the object and update the model with more detailed information, | + | Requirements: |
+ | * Good C++ programming skills | ||
+ | * Familiar | ||
+ | * Experience with simulators/ | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in C/C++ | + | --></html> |
- | * strong background in computer vision | + | |
- | * ROS, OpenCV, PCL | + | |
- | Contact: [[team: | + | == Mülltrennungs-App mit Wissensgraph-Anbindung (BA Thesis) == |
- | == Simulation of a robots belief state to support perception(MA) == | + | Entwicklung einer Mülltrennungs-App für Smartphones |
+ | Dabei wird auf bestehende Objekterkennungs-Apps aufgebaut und eine Smartphone App entwickelt, die Objekte erkennt und auf einen Wissensgraphen zugreift, um weitere Informationen zu diesen Produkten zu erhalten. | ||
+ | Eine Aufgabe der Arbeit ist es, den bestehenden Wissengraphen um Wissen über Produktverpackungen und deren Entsorgungsmöglichkeiten zu erweitern. | ||
- | Create a simulation environment that represents the robots current belief state and can be updated frequently. Use off-screen rendering to investigate the affordances these objects possess, in order to support segmentation, | + | Aufgaben: |
+ | * App Entwicklung mit der Unity game engine | ||
+ | * Objekterkennung mittels Vuforia | ||
+ | * Arbeit mit Wissensrepräsentation und Wissensgraphen | ||
+ | * Erweiterung von .owl Dateien im Wissensgraphen | ||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * strong background in computer vision | ||
- | * Gazebo, OpenCV, PCL | ||
- | Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]] | + | Contact: [[team:michaela_kümpel|Michaela Kümpel]] |
- | == Multi-expert segmentation of cluttered and occluded scenes | + | == Situational awareness in kitchen environments (MA Thesis) |
- | Objects | + | This is a knowledge representation topic including knowledge graphs. The idea is so link external Web-knowledge to an existing knowledge framework |
+ | |||
+ | 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 | ||
+ | * Implement reasoning about situations (based on perceived environment) and object | ||
+ | |||
+ | |||
+ | Contact: [[team: | ||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * strong background in 3D vision | ||
- | * basic knowledge of ROS, OpenCV, PCL | ||
- | Contact: [[team: |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
Discover our VRB for innovative and interactive research
Memberships and associations: