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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques (BA/MA/HiWi)== | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | 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 | + | Technical support for the group for Lisp and the CRAM framework. \\ |
+ | 8+ hours per week for up to 1 year (paid). | ||
Requirements: | Requirements: | ||
- | * Skills | + | * Good programming skills |
- | * Good programming skills in Python and C/C++ | + | * Basic ROS knowledge |
- | 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. |
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding (MA)== | + | Contact: [[team: |
+ | --></ | ||
- | 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: | + | == 3D Model / Material / Lightning Developer |
- | * Experience in Machine Learning. | + | {{ : |
- | * Experience with statistical relational learning | + | |
- | * Good programming skills in Python. | + | |
- | Contact: [[team: | + | 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. |
+ | Bonus: Working with state of the art 3D Scanners [[https:// | ||
- | ==HiWi-Position: Knowledge | + | Requirements: |
+ | * Experience with Blender / Maya (or other) | ||
+ | * Knowledge | ||
- | 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' | + | Contact: [[team: |
+ | < | ||
+ | == Integrating PR2 in the Unreal Game Engine Framework (BA/ | ||
+ | {{ : | ||
- | Tasks: | + | Integrating |
- | * 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 | + | * Good programming skills |
- | * Basic skills in Artificial Intelligence | + | * Basic physics/ |
- | * Optional: basic skills in Probability Theory | + | * Basic ROS knowledge |
- | * Optional: | + | * UE4 basic tutorials |
- | * Good programming skills in Python and Java | + | |
- | Hours: 10-20 h/week | + | Contact: [[team: |
- | Contact: [[team: | ||
- | [1] www.robohow.eu\\ | + | == Realistic Grasping using Unreal Engine (BA/MA/HiWi) == |
- | [2] http://www.youtube.com/ | + | |
+ | {{ : | ||
- | == Depth-Adaptive Superpixels (BA/HiWi)== | + | The objective of the project is to implement var- |
- | {{ : | + | ious human-like grasping approaches in a game developed using [[https:// |
- | 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 | + | The game consist |
- | Requirements: | + | In order to improve the ease of manipulating objects the user should |
- | * Basic knowledge of image processing | + | be able to switch during runtime the type of grasp (pinch, power |
- | * Good programming skills in C/C++. | + | grasp, precision grip etc.) he/she would like to use. |
- | * Experience with CUDA is helpful | + | |
+ | Requirements: | ||
+ | * Good programming skills in C++ | ||
+ | * Good knowledge of the Unreal Engine API. | ||
+ | * Experience with skeletal control / animations / 3D models in Unreal Engine. | ||
- | Contact: [[team: | ||
+ | Contact: [[team/ | ||
+ | --></ | ||
- | == Tools for knowledge acquisition from the Web (BA/ | ||
- | There are several options for doing a project related to the acquisition of | + | == Unreal Engine Editor Developer (Student Job / HiWi)== |
- | knowledge from Web sources like online shops, repositories of object models, | + | {{ : |
- | recipe databases, etc. | + | |
+ | Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework [[https:// | ||
Requirements: | Requirements: | ||
- | * Programing | + | * Good C++ programming |
- | * Experience | + | * Familiar |
- | * Depending on the focus of the project, experience | + | * Familiar |
- | Contact: [[team:moritz_tenorth|Moritz Tenorth]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
+ | |||
+ | |||
+ | |||
+ | == OpenEASE rendering in Unreal Engine (BA/MA Thesis, Student Job / HiWi)== | ||
+ | |||
+ | |||
+ | Implmenting the rendering of the [[https:// | ||
+ | |||
+ | Requirements: | ||
+ | * Good C++ programming skills | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with HTML5 and JavaScript | ||
+ | * Familiar with the [[https:// | ||
+ | * 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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