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jobs [2015/03/12 09:28] – [Theses and Jobs] jworch | jobs [2017/05/03 12:37] – gkazhoya | ||
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+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques (BA/ | + | Technical support for the group for Lisp and the CRAM framework. \\ |
- | + | Ca. 10 hours per week for up to 1 year (paid). | |
- | 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 | + | |
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: | ||
- | * Experience in Machine Learning. | ||
- | * Experience with statistical relational learning (e.g. MLNs) is helpful. | ||
- | * Good programming skills in Python. | ||
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | == Integrating PR2 in the Unreal Game Engine Framework (BA)== |
+ | | ||
- | + | Integrating | |
- | ==HiWi-Position: | + | |
- | + | ||
- | In the context of the European research project RoboHow.Cog | + | |
- | 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: | + | |
- | * 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: | + | |
- | + | ||
- | [1] www.robohow.eu\\ | + | |
- | [2] http://www.youtube.com/watch? | + | |
- | + | ||
- | + | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | + | |
- | {{ : | + | |
- | + | ||
- | Developing new activities and improving the current simulation framework done under the [[http://gazebosim.org/|Gazebo]] robotic simulator. Creating a custom GUI for the game, in order to launch new scenarios, save logs etc. | + | |
Requirements: | Requirements: | ||
* Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
* Basic physics/ | * Basic physics/ | ||
- | * Gazebo simulator | + | * Basic ROS knowledge |
+ | * UE4 basic tutorials | ||
Contact: [[team: | Contact: [[team: | ||
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | ||
- | {{ : | ||
- | Integrating the eye tracker in the [[http:// | + | == Realistic Grasping using Unreal Engine (BA/MA) == |
- | Requirements: | + | {{ : |
- | * Good programming skills in C/C++ | + | |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: | + | The objective of the project is to implement var- |
+ | ious human-like grasping approaches in a game developed using [[https:// | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | + | 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. |
- | {{ : | + | |
- | Improving | + | In order to improve |
+ | be able to switch during runtime | ||
+ | grasp, precision grip etc.) he/she would like to use. | ||
+ | |||
+ | Requirements: | ||
+ | * Good programming skills in C++ | ||
+ | * Good knowledge | ||
+ | * Experience with skeletal control / animations / 3D models in Unreal Engine. | ||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | ||
- | Requirements: | + | Contact: [[team/andrei_haidu|Andrei Haidu]] |
- | * Good programming skills in C/C++ | + | |
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA)== |
+ | | ||
- | == Fluid Simulation in Gazebo (BA/MA)== | + | Developing new activities and improving the current simulation framework done under the [[http:// |
- | {{ : | + | |
- | + | ||
- | [[http:// | + | |
- | + | ||
- | Currently there is an [[http:// | + | |
- | + | ||
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | |
- | and should be implemented (PCISPH/ | + | |
- | + | ||
- | The interaction between the fluid and the rigid objects is a naive one, the forces and torques are applied only from the particle collisions (not taking into account pressure and other forces). | + | |
- | + | ||
- | Another topic would be the visualization of the fluid, currently is done by rendering every particle. For the rendering engine [[http:// | + | |
- | + | ||
- | Here is a [[https:// | + | |
Requirements: | Requirements: | ||
* Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
- | * Interest in Fluid simulation | ||
* Basic physics/ | * Basic physics/ | ||
- | * Gazebo simulator | + | * Gazebo simulator basic tutorials |
Contact: [[team: | 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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