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jobs [2014/02/18 14:54] – created pmania | jobs [2014/08/29 11:12] – [Theses and Jobs] ahaidu | ||
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- | =====Jobs===== | + | ~~NOTOC~~ |
+ | =====Theses and Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
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+ | == GPU-based Parallelization of Numerical Optimization Techniques (BA/ | ||
+ | |||
+ | 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: | ||
+ | * Skills in numerical optimization algorithms | ||
+ | * Good programming skills in Python and C/C++ | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | == 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: | ||
+ | * Experience in Machine Learning. | ||
+ | * Experience with statistical relational learning (e.g. MLNs) is helpful. | ||
+ | * Good programming skills in Python. | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | |||
+ | ==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: | ||
+ | * 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:// | ||
+ | |||
+ | |||
+ | == Depth-Adaptive Superpixels (BA/MA)== | ||
+ | {{ : | ||
+ | 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 in this field like reimplementing DASP using CUDA, investigating how thermal data can be integrated, ... | ||
+ | |||
+ | Requirements: | ||
+ | * Basic knowledge of image processing | ||
+ | * Good programming skills in C/C++. | ||
+ | * Experience with CUDA is helpful | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | |||
+ | == Physical Simulation of Humans (BA/MA)== | ||
+ | {{ : | ||
+ | |||
+ | 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: | ||
+ | * Good programming skills in C/C++ | ||
+ | * Optional: Experience in working with physics libraries such as Bullet | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | ||
+ | {{ : | ||
+ | |||
+ | Developing new activities and improving the current simulation framework done under the [[http:// | ||
+ | |||
+ | Requirements: | ||
+ | * Good programming skills in C/C++ | ||
+ | * Basic physics/ | ||
+ | * Gazebo simulator basic tutorials | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | ||
+ | {{ : | ||
+ | |||
+ | Integrating the eye tracker in the [[http:// | ||
+ | |||
+ | Requirements: | ||
+ | * Good programming skills in C/C++ | ||
+ | * Gazebo simulator basic tutorials | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | ||
+ | {{ : | ||
+ | |||
+ | Improving the skeletal tracking offered by the [[https:// | ||
+ | |||
+ | The tracked hand can then be used as input for the Kitchen Activity Games framework. | ||
+ | |||
+ | Requirements: | ||
+ | * Good programming skills in C/C++ | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | == Fluid Simulation in Gazebo (BA/MA)== | ||
+ | {{ : | ||
+ | |||
+ | [[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: | ||
+ | * Good programming skills in C/C++ | ||
+ | * Interest in Fluid simulation | ||
+ | * Basic physics/ | ||
+ | * Gazebo simulator and Fluidix basic tutorials | ||
+ | |||
+ | 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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