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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/ | ||
+ | < | ||
== Lisp / CRAM support assistant (HiWi) == | == Lisp / CRAM support assistant (HiWi) == | ||
Technical support for the group for Lisp and the CRAM framework. \\ | Technical support for the group for Lisp and the CRAM framework. \\ | ||
- | 5 hours per week for up to 1 year (paid). | + | 8+ hours per week for up to 1 year (paid). |
Requirements: | Requirements: | ||
Line 15: | Line 19: | ||
Contact: [[team: | Contact: [[team: | ||
+ | --></ | ||
+ | < | ||
+ | == 3D Model / Material / Lightning Developer (Student Job / HiWi)== | ||
+ | {{ : | ||
- | == Integrating PR2 in the Unreal | + | Developing and improving existing 3D models |
- | {{ : | + | |
- | Integrating the [[https:// | + | Bonus: Working |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Experience with Blender |
- | * Basic physics/rendering engine knowledge | + | * Knowledge of Unreal Engine material |
- | * Basic ROS knowledge | + | |
- | * UE4 basic tutorials | + | |
- | Contact: [[team: | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA)== | ||
- | {{ : | ||
- | |||
- | 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: | Contact: [[team: | ||
- | == Integrating | + | == Integrating |
- | {{ :research:eye_tracker.png?200|}} | + | {{ :research:unreal_ros_pr2.png?100|}} |
- | Integrating | + | Integrating the [[https:// |
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. | ||
- | [[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 (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 | + | == Unreal Engine Editor Developer |
+ | {{ : | ||
- | Another topic would be the visualization of the fluid, currently is done by rendering every particle. For the rendering engine | + | Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework |
- | 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/rendering engine knowledge | + | * Familiar with Unreal Engine API |
- | * Gazebo simulator and Fluidix basic tutorials | + | |
Contact: [[team: | Contact: [[team: | ||
- | == Automated sensor calibration toolkit (BA/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 thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | ||
- | {{ : | + | Implmenting the rendering |
- | The system should: | + | |
- | * be independent | + | |
- | * estimate intrinsic and extrinsic parameters | + | |
- | * calibrate depth images (case of RGB-D) | + | |
- | * integrate capabilities from Halcon | + | |
- | * operate autonomously | + | |
- | + | ||
- | Requirements: | + | |
- | * Good programming skills in Python and C/C++ | + | |
- | * ROS, OpenCV | + | |
- | + | ||
- | [1] http://www.halcon.de/ | + | |
- | + | ||
- | 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 | + | |
- | * 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 | + | |
- | + | ||
- | 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 | + | |
- | + | ||
- | Requirements: | + | |
- | * Good programming skills in C/C++ | + | |
- | * strong background in 3D vision | + | |
- | * basic knowledge of ROS, OpenCV, PCL | + | |
- | + | ||
- | Contact: [[team: | + | |
+ | Requirements: | ||
+ | * Good C++ programming skills | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with HTML5 and JavaScript | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with basic ROS communication | ||
+ | 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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