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jobs [2015/03/12 09:28] – [Theses and Jobs] jworch | jobs [2019/04/02 07:17] – [Theses and Student Jobs] haidu | ||
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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/ | ||
+ | == PID controller tuning for simulated hand movements (BA/MA Thesis)== | ||
- | == 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 | + | Implementing and tuning force, velocity and impulse based a PID controller for precise and responsive hand movements in a virtual environment. |
Requirements: | Requirements: | ||
- | | + | * Good C++ programming skills |
- | | + | * Familiar with PID controllers |
+ | * Experience with simulators/ | ||
+ | |||
+ | Contact: [[team: | ||
- | Contact: [[team: | ||
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding | + | < |
+ | == Lisp / CRAM support assistant | ||
- | Markov Logic Networks (MLNs) combine | + | Technical support for the group for Lisp and the CRAM framework. \\ |
+ | 8+ hours per week for up to 1 year (paid). | ||
Requirements: | Requirements: | ||
- | * Experience | + | * Good programming skills |
- | * Experience with statistical relational learning (e.g. MLNs) is helpful. | + | * Basic ROS knowledge |
- | * Good programming skills in Python. | + | |
- | 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: | ||
+ | --></ | ||
+ | == Mesh Editing / Mesh Segmentation/ | ||
+ | {{ : | ||
- | ==HiWi-Position: | + | |
- | In the context of the European research project RoboHow.Cog [1,2] we | + | Requirements: |
- | are investigating methods for combining multimodal sources of knowledge (e.g. video, natural-language recipes | + | * Good knowledge |
+ | * Familiar with Blender / Maya (or other) | ||
+ | |||
+ | Contact: [[team/ | ||
- | The Institute for Artificial Intelligence is hiring a student researcher for the | + | == 3D Model / Material / Lightning Developer (Student Job / 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' | + | 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. |
- | Tasks: | + | Bonus: Working with state of the art 3D Scanners [[https:// |
- | * Implementation | + | |
- | * Linkage of the knowledge base to the executive of the robot. | + | |
- | * Support | + | |
Requirements: | Requirements: | ||
- | * Studies in Computer Science | + | * Experience with Blender / Maya (or other) |
- | * Basic skills in Artificial Intelligence | + | * Knowledge of Unreal Engine material / lightning development |
- | * 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:// | ||
+ | Contact: [[team: | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator | + | < |
- | {{ :research:gz_env1.png?200|}} | + | == Integrating PR2 in the Unreal Game Engine Framework |
+ | {{ :research:unreal_ros_pr2.png?100|}} | ||
- | 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. | + | Integrating |
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://gazebosim.org/ | + | == Realistic Grasping using Unreal Engine (BA/MA/HiWi) == |
- | 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/ |
- | * Good programming skills in C/C++ | + | --></html> |
- | Contact: [[team: | ||
- | == Fluid Simulation in Gazebo | + | == Unreal Engine Editor Developer |
- | {{ :research:fluid.png?200|}} | + | {{ :research:unreal_editor.png?150|}} |
- | [[http://gazebosim.org/|Gazebo]] currently only supports rigid body physics engines (ODE, Bullet etc.), however in some cases fluids are preferred in order to simulate as realistically as possible the given environment. | + | Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework |
- | 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 | + | Requirements: |
- | and should be implemented (PCISPH/IISPH). | + | * Good C++ programming skills |
+ | * Familiar with the [[https://docs.unrealengine.com/ | ||
+ | * Familiar with Unreal Engine API | ||
- | 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). | + | Contact: [[team: |
- | 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://vimeo.com/104629835|video]] example of the current state of the fluid in Gazebo. | + | |
+ | == OpenEASE rendering in Unreal Engine (BA/MA Thesis, Student Job / HiWi)== | ||
+ | |||
+ | |||
+ | Implmenting the rendering of the [[https://data.open-ease.org/|OpenEASE]] knowledge base visualization | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
- | * Interest in Fluid simulation | + | * Familiar with Unreal Engine API |
- | * Basic physics/rendering engine knowledge | + | * Familiar with HTML5 and JavaScript |
- | * Gazebo simulator and Fluidix | + | * Familiar with the [[https:// |
+ | * Familiar with basic ROS communication | ||
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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