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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
- | == Integrating PR2 in the Unreal Game Engine Framework (BA)== | + | == Researcher |
- | {{ : | + | |
- | Integrating the [[https://www.willowgarage.com/pages/pr2/overview|PR2]] robot with [[http://www.ros.org/|ROS]] support in the [[https://www.unrealengine.com|Unreal Engine 4]] Framework. | + | Position code A132/17. Please see [[http://www.uni-bremen.de/de/universitaet/die-uni-als-arbeitgeber/offene-stellen/detailansicht/joblist/Job/show/ |
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * Basic physics/ | ||
- | * Basic ROS knowledge | ||
- | * UE4 basic tutorials | ||
- | Contact: [[team: | + | == Researcher with background in VR programming == |
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA)== | + | Position code A133/17. Please see [[http:// |
- | | + | |
- | 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: | + | =====Theses and Student Jobs===== |
- | * Good programming skills in C/C++ | + | If you are looking for a bachelor/master thesis or a job as a student research assistant, you may find some interesting opportunities on this page. |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: [[team: | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices | + | Technical support for the group for Lisp and the CRAM framework. \\ |
- | {{ : | + | 8+ hours per week for up to 1 year (paid). |
- | Improving the skeletal tracking offered by the [[https:// | + | Requirements: |
+ | * Good programming skills in Common Lisp | ||
+ | * Basic ROS knowledge | ||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | 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 |
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in C/C++ | + | --></html> |
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | == 3D Model / Material / Lightning Developer (Student Job / HiWi)== |
+ | | ||
- | == Fluid Simulation | + | Developing and improving 3D Models |
- | {{ : | + | |
- | [[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. | + | Bonus: Working with state of the art 3D Scanners |
- | Currently there is an [[http:// | + | Requirements: |
+ | * Experience with Blender | ||
+ | * Knowledge | ||
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | Contact: [[team: |
- | and should be implemented (PCISPH/ | + | |
- | The interaction between | + | == Integrating PR2 in the Unreal Game Engine Framework |
+ | {{ : | ||
- | Another topic would be the visualization of the fluid, currently is done by rendering every particle. For the rendering engine | + | Integrating |
- | + | ||
- | Here is a [[https://vimeo.com/104629835|video]] example of the current state of the fluid in Gazebo. | + | |
Requirements: | Requirements: | ||
* Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
- | * Interest in Fluid simulation | ||
* Basic physics/ | * Basic physics/ | ||
- | * Gazebo simulator and Fluidix | + | * Basic ROS knowledge |
+ | * UE4 basic tutorials | ||
Contact: [[team: | Contact: [[team: | ||
- | == Automated sensor calibration toolkit | + | == Realistic Grasping using Unreal Engine |
- | 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, | + | {{ : |
- | The topic for this thesis | + | The objective of the project |
+ | ious human-like grasping approaches in a game developed using [[https:// | ||
- | {{ : | + | The game consist |
- | The system should: | + | |
- | * be independent | + | |
- | * estimate intrinsic and extrinsic parameters | + | |
- | * calibrate depth images (case of RGB-D) | + | |
- | * integrate capabilities from Halcon [1] | + | |
- | * operate autonomously | + | |
+ | In order to improve the ease of manipulating objects the user should | ||
+ | be able to switch during runtime the type of grasp (pinch, power | ||
+ | grasp, precision grip etc.) he/she would like to use. | ||
+ | | ||
Requirements: | Requirements: | ||
- | * Good programming skills in Python and C/C++ | + | * Good programming skills in C++ |
- | * ROS, OpenCV | + | * Good knowledge of the Unreal Engine API. |
+ | * Experience with skeletal control / animations / 3D models in Unreal Engine. | ||
- | [1] http:// | ||
- | |||
- | Contact: [[team: | ||
- | |||
- | == On-the-fly 3D CAD model creation (MA)== | ||
- | |||
- | Create models during runtime for unknown textured objets based on depth and color information. Track the object and update the model with more detailed information, | ||
- | |||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * strong background in computer vision | ||
- | * ROS, OpenCV, PCL | ||
- | |||
- | Contact: [[team: | ||
- | |||
- | == Simulation of a robots belief state to support perception(MA) == | ||
- | |||
- | Create a simulation environment that represents the robots current belief state and can be updated frequently. Use off-screen rendering to investigate the affordances these objects possess, in order to support segmentation, | ||
- | |||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * strong background in computer vision | ||
- | * Gazebo, OpenCV, PCL | ||
- | |||
- | Contact: [[team: | ||
- | |||
- | == Multi-expert segmentation of cluttered and occluded scenes == | ||
- | |||
- | Objects in a human environment are usually found in challenging scenes. They can be stacked upon eachother, touching or occluding, can be found in drawers, cupboards, refrigerators and so on. A personal robot assistant in order to execute a task, needs to detect these objects and recognize them. In this thesis a multi-modal approach to interpreting cluttered scenes is going to be investigated, | ||
- | |||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * strong background in 3D vision | ||
- | * basic knowledge of ROS, OpenCV, PCL | ||
- | |||
- | Contact: [[team: | ||
- | |||
- | == Robot control systems in underwater robotics == | ||
- | |||
- | The use of robots in underwater missions shows a challenging task. The dynamic terrain and its different conditions makes it difficult for robots to perform tasks correctly. In order to accomplish tasks in a proper way, the robot control routines have to be coordinated. The topic of this thesis is to develop robot control systems for underwater robotics in an underwater mission in order to navigate and to execute tasks correctly in the terrain. | ||
- | |||
- | Requirements: | ||
- | * Good programming skills in C/C++ or JAVA | ||
- | * basic knowledge of ROS, OpenCV | ||
- | 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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