Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
jobs [2014/08/29 09:33] – [Theses and Jobs] ahaidu | jobs [2019/04/09 08:03] – [Theses and Student Jobs] haidu | ||
---|---|---|---|
Line 1: | Line 1: | ||
~~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 | + | == Knowledge-enabled PID Controller for 3D Hand Movements in Virtual Environments |
- | 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 | + | Implementing |
+ | of the human user will be mapped | ||
+ | The controller should | ||
Requirements: | Requirements: | ||
- | | + | * Good C++ programming skills |
- | | + | * Familiar with PID controllers |
+ | * Experience with simulators/game engines is recommended | ||
+ | * Experience with Unreal Engine | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | |||
+ | 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 | + | * Familiar with version-control systems (git) |
- | * Optional: basic skills in Machine Learning | + | * Able to work independently with minimal supervision |
- | * Good programming skills in Python and Java | + | |
- | Hours: 10-20 h/week | ||
- | Contact: [[team: | ||
- | |||
- | [1] www.robohow.eu\\ | ||
- | [2] http:// | ||
+ | Contact: [[team: | ||
- | == Depth-Adaptive Superpixels | + | < |
- | {{ :research:dt_dasp.png?200|}} | + | == Integrating PR2 in the Unreal Game Engine Framework |
- | 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. | + | {{ :research:unreal_ros_pr2.png?100|}} |
- | 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. | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | 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++ | + | --></html> |
- | * Basic physics/rendering engine knowledge | + | |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: [[team: | ||
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | + | == Unreal Engine Editor Developer |
- | {{ :research:eye_tracker.png?200|}} | + | {{ :research:unreal_editor.png?150|}} |
+ | |||
+ | Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework [[https:// | ||
- | Integrating the eye tracker in the Gazebo based Kitchen Activity Games framework | ||
- | 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 C++ programming skills |
- | * Gazebo simulator basic tutorials | + | * Familiar with the [[https:// |
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | ||
- | {{ : | ||
- | Improving the skeletal tracking offered by the Leap Motion SDK, by using two devices (one tracking vertically the other horizontally) and switching between them to the one that has the best current view of the hand. | ||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | == OpenEASE rendering in Unreal Engine (BA/MA Thesis, Student Job / HiWi)== |
+ | |||
+ | |||
+ | Implmenting the rendering of the [[https:// | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with HTML5 and JavaScript | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with basic ROS communication | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
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
Discover our VRB for innovative and interactive research
Memberships and associations: