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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
- | ====Theses==== | + | =====Open researcher positions===== |
- | == Web-based knowledge visualizations (BA/ | + | =====Theses and Student Jobs===== |
+ | If you are looking for a bachelor/ | ||
- | {{ : | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | The knowledge base visualization allows to display semantic environment maps, | + | Technical support for the group for Lisp and the CRAM framework. \\ |
- | objects, human poses, trajectories and similar information stored in the | + | 8+ hours per week for up to 1 year (paid). |
- | 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: | ||
+ | --></ | ||
- | == Statistical relational models of human activities | + | < |
+ | == 3D Model / Material / Lightning Developer | ||
+ | {{ : | ||
- | As part of the [[http://cogwatch.eu|CogWatch EU project]], we are working on | + | Developing and improving existing 3D models in Blender / Maya (or other). Importing the models in Unreal Engine, where the Materials and Lightning should be improved to be close as possible to realism. |
- | the analysis of observations of Apraxia patients. After suffering brain damage, | + | |
- | these patients lack important motor coordination skills that result in various | + | Bonus: Working with state of the art 3D Scanners |
- | kinds of errors in performing everyday activities. Based on data from the | + | |
- | extensive patient trials, the student is to learn statistical relational | + | |
- | models | + | |
Requirements: | Requirements: | ||
- | * Good knowledge of machine learning | + | * Experience with Blender / Maya (or other) |
- | * Programming skills (Java) | + | * Knowledge of Unreal Engine material / lightning development |
- | Contact: [[team: | ||
- | == Tools for knowledge acquisition from the Web (BA/ | + | Contact: [[team: |
- | There are several options for doing a project related to the acquisition of | + | == Integrating PR2 in the Unreal Game Engine Framework (BA/ |
- | knowledge from Web sources like online shops, repositories of object models, | + | {{ : |
- | recipe databases, etc. | + | |
+ | Integrating the [[https:// | ||
Requirements: | Requirements: | ||
- | * Programing | + | * Good programming |
- | * Experience with Web languages and datamining techniques is helpful | + | * Basic physics/ |
- | * Depending on the focus of the project, experience with database technology, natural-language processing or computer vision may be helpful | + | * Basic ROS knowledge |
+ | * UE4 basic tutorials | ||
- | Contact: [[team:moritz_tenorth|Moritz Tenorth]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | == GPU-based Parallelization of Numerical Optimization Techniques | + | == Realistic Grasping using Unreal Engine |
- | 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. | + | {{ : |
- | Requirements: | + | The objective of the project is to implement var- |
- | * Skills | + | ious human-like grasping approaches |
- | * Good programming skills in Python and C/C++ | + | |
- | Contact: [[team: | + | The game consist of a household environment where a user has to execute various given tasks, such as cooking a dish, setting the table, cleaning the dishes etc. The interaction is done using various sensors to map the users hands onto the virtual hands in the game. |
- | == Online Learning | + | In order to improve the ease of manipulating objects the user should |
+ | 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. | ||
- | 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: | + | Contact: [[team/ |
- | * Experience in Machine Learning. | + | --></ |
- | * Experience with statistical relational learning (e.g. MLNs) is helpful. | + | |
- | * Good programming skills in Python. | + | |
- | Contact: [[team: | ||
+ | == 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/latest/INT/Programming/ |
- | ====Open Positions==== | + | |
- | ==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 for Artificial Intelligence is hiring a student researcher for the | ||
- | development and the integration of probabilistic methods in AI, which enable intelligent robots to understand, interpret and execute natural-language instructions from recipes from the World Wide Web. | ||
- | |||
- | This HiWi-Position can serve as a starting point for future Bachelor' | ||
- | |||
- | Tasks: | ||
- | * Implementation of an interface to the Robot Operating System (ROS). | ||
- | * 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 |
- | * Basic skills | + | * Familiar with the [[https:// |
- | * Optional: basic skills in Probability Theory | + | * Familiar with Unreal Engine API |
- | * Optional: basic skills in Machine Learning | + | |
- | * Good programming skills in Python and Java | + | |
- | Hours: 10-20 h/week | + | Contact: [[team: |
- | Contact: [[team: | ||
- | [1] www.robohow.eu\\ | ||
- | [2] http:// | ||
- | == HiWi position: Segmentation and interpretation of 3D object models | + | == OpenEASE rendering in Unreal Engine |
- | {{ : | ||
- | Competent object interaction requires knowledge about the structure and | + | Implmenting |
- | composition | + | |
- | how part-based object models can automatically be extracted from CAD models | + | |
- | found on the Web, e.g. on the [[http://sketchup.google.com/3dwarehouse|3D warehouse]]. | + | |
- | + | ||
- | We are looking for a student research assistant to push this topic forward. | + | |
- | 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: | Requirements: | ||
- | * Good Java programming skills | + | * Good C++ programming skills |
- | * Basic knowledge of 3D geometry calculations | + | * Familiar with Unreal Engine API |
- | * Experience | + | * Familiar |
- | + | * Familiar with the [[https:// | |
- | Contact: | + | * Familiar with basic ROS communication |
+ | 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
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