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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | + | |
+ | =====Open researcher positions===== | ||
+ | |||
+ | =====Theses and Student | ||
If you are looking for a bachelor/ | If you are looking for a bachelor/ | ||
- | == Web-based knowledge visualizations (BA/HiWi) == | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | {{ : | + | Technical support for the group for Lisp and the CRAM framework. \\ |
- | + | 8+ hours per week for up to 1 year (paid). | |
- | The knowledge base visualization allows to display semantic environment maps, | + | |
- | objects, human poses, trajectories and similar information stored in the | + | |
- | robot' | + | |
- | is written in Java and has grown old over the years. Recently, there has been | + | |
- | much progress in creating [[http:// | + | |
- | 3D visualizations]] | + | |
- | [[http:// | + | |
- | a web-based version of the visualization using these techniques. | + | |
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good programming skills |
- | * Experience with JavaScript development | + | * Basic ROS knowledge |
- | * Knowledge of Web technologies (HTML, XML, OWL) | + | |
- | Contact: [[team: | + | 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. |
+ | Contact: [[team: | ||
+ | --></ | ||
- | == Tools for knowledge acquisition from the Web (BA/MA/HiWi) == | + | < |
+ | == 3D Model / Material / Lightning Developer (Student Job / HiWi)== | ||
+ | {{ : | ||
- | There are several options for doing a project related to the acquisition of | + | Developing and improving existing 3D models in Blender / Maya (or other). Importing |
- | knowledge from Web sources like online shops, repositories of object | + | |
- | recipe databases, etc. | + | Bonus: Working with state of the art 3D Scanners [[https:// |
Requirements: | Requirements: | ||
- | * Programing skills | + | * Experience with Blender / Maya (or other) |
- | * Experience with Web languages and datamining techniques is helpful | + | * Knowledge |
- | * Depending on the focus of the project, experience with database technology, natural-language processing or computer vision may be helpful | + | |
- | Contact: [[team: | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques (BA/ | + | Contact: [[team: |
- | 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 | + | == Integrating PR2 in the Unreal Game Engine Framework |
+ | {{ : | ||
- | Requirements: | + | Integrating the [[https:// |
- | * Skills in numerical optimization algorithms | + | |
- | * Good programming skills in Python and C/C++ | + | |
- | + | ||
- | Contact: | + | |
- | + | ||
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding (MA)== | + | |
- | + | ||
- | 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, | + | |
Requirements: | Requirements: | ||
- | * Experience | + | * Good programming skills |
- | * Experience with statistical relational learning (e.g. MLNs) is helpful. | + | * Basic physics/ |
- | * Good programming skills in Python. | + | * Basic ROS knowledge |
+ | * UE4 basic tutorials | ||
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | ==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots== | + | == Realistic Grasping using Unreal Engine (BA/MA/HiWi) == |
- | 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 for Artificial Intelligence | + | The objective of the project |
- | development and the integration of probabilistic methods | + | ious human-like grasping approaches |
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | The game consist of a household environment where a user has to execute various given tasks, such as cooking |
- | Tasks: | + | In order to improve the ease of manipulating objects the user should |
- | * Implementation | + | be able to switch during runtime |
- | * Linkage of the knowledge | + | grasp, precision grip etc.) he/she would like to use. |
- | * Support for the scientific staff in extending and integrating components onto the robot platform PR2. | + | |
+ | Requirements: | ||
+ | * Good programming skills in C++ | ||
+ | * Good knowledge of the Unreal Engine API. | ||
+ | * Experience with skeletal control / animations / 3D models | ||
- | Requirements: | ||
- | * Studies in Computer Science (Bachelor' | ||
- | * Basic skills in Artificial Intelligence | ||
- | * Optional: basic skills in Probability Theory | ||
- | * Optional: basic skills in Machine Learning | ||
- | * Good programming skills in Python and Java | ||
- | Hours: 10-20 h/week | + | Contact: [[team/ |
+ | --></html> | ||
- | Contact: [[team: | ||
- | [1] www.robohow.eu\\ | + | == Unreal Engine Editor Developer (Student Job / HiWi)== |
- | [2] http://www.youtube.com/ | + | {{ :research: |
- | == HiWi position: Segmentation and interpretation of 3D object models | + | Creating new user interfaces |
- | {{ : | ||
- | Competent object interaction requires knowledge about the structure and | + | Requirements: |
- | composition of objects. In an ongoing research project, we are investigating | + | * Good C++ programming skills |
- | how part-based object models can automatically be extracted from CAD models | + | * Familiar with the [[https://docs.unrealengine.com/latest/ |
- | found on the Web, e.g. on the [[http://sketchup.google.com/3dwarehouse|3D warehouse]]. | + | * Familiar with Unreal Engine API |
- | We are looking for a student research assistant to push this topic forward. | + | Contact: [[team: |
- | In close collaboration with the researchers of the Institute for Artificial | + | |
- | Intelligence, | + | |
- | segmentation, | + | |
- | methods into the robot' | + | |
- | the segmentation results. Depending on the results, cooperation on joint | + | |
- | publications may be possible. | + | |
- | This HiWi position can serve as a starting point for future Bachelor' | ||
- | Master' | ||
- | project that could be worked on as a Master' | ||
- | |||
- | Requirements: | ||
- | * Good Java programming skills | ||
- | * Basic knowledge of 3D geometry calculations | ||
- | * Experience with working with 3D models is helpful | ||
- | Contact: [[team: | ||
- | == Depth-Adaptive Superpixels | + | == OpenEASE rendering in Unreal Engine |
- | We are currently investigating a new set of sensors (RGB-D-T), which is a combination of a kinect with a thermal image camera. Within this project we want to enhance the Depth-Adaptive Superpixels (DASP) to make use of the thermal sensor data. Depth-Adaptive Superpixels oversegment an image taking into account the depth value of each pixel. {{ : | ||
- | Since the current implementation | + | Implmenting |
Requirements: | Requirements: | ||
- | | + | * Good C++ programming skills |
- | | + | * Familiar with Unreal Engine API |
- | * Experience | + | * Familiar with HTML5 and JavaScript |
+ | * Familiar with the [[https:// | ||
+ | * Familiar | ||
- | Contact: [[team:jan-hendrik_worch|Jan-Hendrik Worch]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
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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