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jobs [2015/03/19 12:25] – [Theses and Jobs] balintbe | jobs [2020/10/22 08:14] – [Open researcher positions] dkastens | ||
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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | + | |
+ | =====Open researcher positions===== | ||
+ | |||
+ | =====Theses and Student | ||
If you are looking for a bachelor/ | If you are looking for a bachelor/ | ||
- | == 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 | + | < |
+ | == Knowledge-enabled PID Controller for 3D Hand Movements in Virtual Environments (BA/MA Thesis) == | ||
+ | |||
+ | Implementing | ||
+ | of the human user will be mapped | ||
+ | The controller should | ||
Requirements: | Requirements: | ||
- | | + | * Good C++ programming skills |
- | | + | * Familiar with PID controllers |
+ | * Experience with simulators/physics-/ | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
+ | --></ | ||
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding | + | == Natural |
- | Markov Logic Networks (MLNs) combine the expressive power of first-order logic and probabilistic graphical | + | Implementing physics-based grasping |
+ | from various devices such as Manus VR or Valve Index. | ||
Requirements: | Requirements: | ||
- | * Experience in Machine Learning. | + | * Good C++ programming skills |
- | * Experience with statistical relational learning | + | * Familiar with skeletal animations |
- | * Good programming skills in Python. | + | * Experience with simulators/ |
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems | ||
+ | * Able to work independently with minimal supervision | ||
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
+ | < | ||
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | ==HiWi-Position: | + | Technical support |
+ | 8+ hours per week for up to 1 year (paid). | ||
- | 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 or computer games), in order to enable mobile robots to autonomously acquire new high level skills | + | * Good programming |
+ | * Basic ROS knowledge | ||
- | The Institute for Artificial Intelligence is hiring a student | + | The student |
- | development and the integration | + | |
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | Contact: [[team: |
+ | --></ | ||
- | Tasks: | + | < |
- | * Implementation of an interface to the Robot Operating System | + | == Mesh Editing / Mesh Segmentation/ |
- | * Linkage of the knowledge base to the executive of the robot. | + | {{ : |
- | * Support for the scientific staff in extending | + | |
+ | | ||
Requirements: | Requirements: | ||
- | * Studies | + | * Good knowledge |
- | * Basic skills in Artificial Intelligence | + | * Familiar with Blender / Maya (or other) |
- | * 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/ |
+ | --></html> | ||
- | Contact: [[team: | ||
- | [1] www.robohow.eu\\ | + | == 3D animation and model developer (Student Job / HiWi)== |
- | [2] http://www.youtube.com/ | + | {{ :research: |
+ | Developing and improving existing or new 3D (static/ | ||
+ | models in Blender / Maya (or other). Further importing and testing the | ||
+ | models against Unreal Engine. | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | + | Bonus: Working with state of the art 3D Scanners |
- | | + | |
- | + | ||
- | 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 | + | |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Experience with Blender |
- | * Basic physics/rendering engine knowledge | + | * Knowledge of Unreal Engine material |
- | * Gazebo simulator basic tutorials | + | * Familiar with version-control systems (git) |
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | ||
- | {{ : | ||
- | Integrating | + | < |
+ | == Integrating | ||
+ | {{ : | ||
+ | |||
+ | Integrating | ||
Requirements: | Requirements: | ||
* Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
- | * Gazebo simulator | + | * Basic physics/ |
+ | * Basic ROS knowledge | ||
+ | * UE4 basic tutorials | ||
Contact: [[team: | Contact: [[team: | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | ||
- | {{ : | ||
- | Improving the skeletal tracking offered by the [[https://developer.leapmotion.com/ | + | == Realistic Grasping using Unreal Engine (BA/MA/HiWi) == |
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | {{ : |
- | Requirements: | + | The objective of the project is to implement var- |
- | * Good programming skills | + | ious human-like grasping approaches |
- | 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. |
- | == Fluid Simulation in Gazebo | + | 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 | ||
- | [[http:// | ||
- | Currently there is an [[http:// | + | Contact: |
+ | --></html> | ||
- | 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 | + | == Unreal Engine Editor Developer |
+ | {{ : | ||
- | The interaction between the fluid and the rigid objects is a naive one, the forces and torques are applied only from the particle collisions | + | Creating new user interfaces |
- | 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 C++ programming skills |
- | * Interest in Fluid simulation | + | * Familiar with the [[https:// |
- | * Basic physics/ | + | * Familiar with Unreal Engine API |
- | * Gazebo simulator and Fluidix basic tutorials | + | * Familiar with version-control systems (git) |
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
- | == Automated sensor calibration toolkit (MA)== | ||
- | Computer vision is an important part of autonomous robots. For robots the image sensors are the main source of information of the surrounding world. Each camera is different, even if they are from the same production line. For computer vision, especially for robots manipulating their environment, | + | == OpenEASE rendering |
- | The topic for this master thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | ||
- | The system should be: | + | Implmenting |
- | * independent of the camera type | + | |
- | * estimate intrinsics and extrinsics | + | |
- | * have depth calibration (case of RGBD) | + | |
- | * integrate capabilities from Halcon | + | |
- | Requirements: | + | Requirements: |
- | * Good programming skills | + | * Good C++ programming skills |
- | * ROS, OpenCV | + | * 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 | ||
- | [1] http:// | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | + | --></ | |
- | Contact: [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]] | + |
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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