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| - | =====Theses and Jobs===== | ||
| - | If you are looking for a bachelor/ | ||
| + | =====Open researcher positions===== | ||
| - | == GPU-based Parallelization of Numerical Optimization Techniques (BA/ | + | == Knowledge bases and knowledge acquisition |
| - | 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. | + | Position code A132/17. Please see [[http:// |
| - | Requirements: | ||
| - | * Skills in numerical optimization algorithms | ||
| - | * Good programming skills in Python and C/C++ | ||
| - | Contact: [[team: | + | == Researcher with background in VR programming == |
| - | == Online Learning of Markov Logic Networks for Natural-Language Understanding (MA)== | + | Position code A133/17. Please see [[http:// |
| - | 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: | ||
| - | * Experience in Machine Learning. | ||
| - | * Experience with statistical relational learning (e.g. MLNs) is helpful. | ||
| - | * Good programming skills in Python. | ||
| - | Contact: [[team: | ||
| - | ==HiWi-Position: | + | =====Theses and Student Jobs===== |
| + | If you are looking for a bachelor/ | ||
| - | 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 | + | == Lisp / CRAM support assistant (HiWi) == |
| - | 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' | + | Technical support |
| - | + | 8+ hours per week for up to 1 year (paid). | |
| - | Tasks: | + | |
| - | * Implementation of an interface | + | |
| - | * 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 ROS knowledge |
| - | * Optional: basic skills in Probability Theory | + | |
| - | * Optional: basic skills in Machine Learning | + | |
| - | * Good programming skills in Python and Java | + | |
| - | Hours: 10-20 h/week | + | 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:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]] |
| - | [1] www.robohow.eu\\ | ||
| - | [2] http:// | ||
| - | == Depth-Adaptive Superpixels | + | == Integrating PR2 in the Unreal Game Engine Framework |
| - | {{ :research:dt_dasp.png?200|}} | + | {{ :research:unreal_ros_pr2.png? |
| - | 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 of DASP is not very performant for high resolution images, there are several options for doing a project | + | Integrating |
| Requirements: | Requirements: | ||
| - | | + | * Good programming skills in C/C++ |
| - | | + | * Basic physics/ |
| - | * Experience with CUDA is helpful | + | * Basic ROS knowledge |
| + | * UE4 basic tutorials | ||
| - | Contact: [[team:jan-hendrik_worch|Jan-Hendrik Worch]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
| - | == Physical Simulation of Humans | + | == Realistic Grasping using Unreal Engine |
| - | {{ : | + | |
| - | For tracking people, the use of particle filters is a common approach. However, the quality of those filters heavily depends on the way particles are spread. In this thesis, a library for the physical simulation of a human model is to be implemented. | + | {{ : |
| - | Requirements: | + | The objective of the project is to implement var- |
| - | * Good programming skills | + | ious human-like grasping approaches |
| - | * Optional: Experience in working with physics libraries such as Bullet | + | |
| - | 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. |
| - | == Kitchen Activity Games in a Realistic Robotic Simulator | + | In order to improve the ease of manipulating objects the user should |
| - | {{ :research: | + | 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. | ||
| - | Developing new activities and improving the current simulation framework done under the Gazebo robotic simulator. Creating a custom GUI for the game, in order to launch new scenarios, save logs etc. | ||
| - | Requirements: | + | Contact: [[team/andrei_haidu|Andrei Haidu]] |
| - | * Good programming skills in C/C++ | + | |
| - | * Basic physics/ | + | |
| - | * Gazebo simulator basic tutorials | + | |
| - | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA)== |
| + | | ||
| - | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | + | Developing new activities and improving |
| - | {{ : | + | |
| - | + | ||
| - | Integrating the eye tracker in the Gazebo | + | |
| - | and logging the gaze of the user during the gameplay. From the information typical activities should be inferred. | + | |
| Requirements: | Requirements: | ||
| * Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
| + | * Basic physics/ | ||
| * Gazebo simulator basic tutorials | * Gazebo simulator basic tutorials | ||
| Contact: [[team: | Contact: [[team: | ||
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
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ai-office@cs.uni-bremen.de
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