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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | == Doctoral Candidate / Research Associate == | ||
+ | As a research associate at the Institute for Artificial Intelligence, | ||
+ | In particular, your challenges comprise the following: | ||
+ | * the development and implementation of probabilistic models and algorithms for learning and reasoning in complex scenarios of intelligent service robots, | ||
+ | * the creation and maintenance of software documentation as well as the presentation of research results at top-tier international conferences, | ||
+ | * self-organized and ambitious work both individually and in a team of researchers, | ||
+ | * the contribution to authoring of research grant proposals. | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator | + | Prerequisites: |
- | {{ : | + | * Successfully completed Master' |
+ | * very good skills in Machine Learning and Data Mining; esp. experience with probabilistic graphical models | ||
+ | * very good programming skills in the Python/ | ||
+ | * experience in natural-language understanding and semantic modeling helpful. | ||
- | Developing new activities and improving | + | Besides |
- | Requirements: | + | Research associate |
- | * Good programming skills in C/C++ | + | with the Institute for Artificial Intelligence |
- | * Basic physics/ | + | at the University of Bremen, Germany, |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: [[team: | + | Salary is according to the German Federal pay scale, TV-L 13, full-time. The position is available as soon as possible. |
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | + | Please send your application |
- | {{ :research: | + | Prof. Michael Beetz, PhD\\ |
+ | [[mailto: | ||
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
- | Integrating | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
+ | |||
+ | Technical support for the group for Lisp and the CRAM framework. | ||
+ | 8+ hours per week for up to 1 year (paid). | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good programming skills in Common Lisp |
- | * Gazebo simulator basic tutorials | + | * Basic ROS knowledge |
- | 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. |
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | + | Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]] |
- | | + | --></ |
- | Improving the skeletal tracking offered by the [[https:// | + | == Student job for data visualization == |
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | In the scope of the CRC Farbige Zustände we use machine-learning techniques and novel high-troughput methods to find new materials. To present the project to the scientific community |
- | Requirements: | + | Perspective of future BA/MA topics in this project! |
- | * Good programming skills in C/C++ | + | |
- | Contact: | + | If you're interested, contact |
- | == Fluid Simulation in Gazebo | + | == 3D Model / Material / Lightning Developer |
- | {{ :research:fluid.png? | + | {{ :research:kitchen_unreal.jpg? |
- | [[http:// | + | Developing and improving existing 3D models in Blender |
- | Currently there is an [[http:// | + | Bonus: Working with state of the art 3D Scanners |
- | 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). | + | * Experience with Blender / Maya (or other) |
+ | * Knowledge of Unreal Engine material | ||
- | 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). | ||
- | 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: | ||
- | * Good programming skills in C/C++ | ||
- | * Interest in Fluid simulation | ||
- | * Basic physics/ | ||
- | * Gazebo simulator and Fluidix basic tutorials | ||
Contact: [[team: | Contact: [[team: | ||
+ | == Unreal Engine Editor Developer (Student Job / HiWi)== | ||
+ | {{ : | ||
- | == Automated sensor calibration toolkit | + | Creating new user interfaces |
- | 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 is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | + | Requirements: |
+ | * Good C++ programming skills | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with Unreal Engine API | ||
- | | + | Contact: [[team: |
- | The system should: | + | |
- | * be independent of the camera type | + | |
- | * estimate intrinsic and extrinsic parameters | + | |
- | * calibrate depth images (case of RGB-D) | + | |
- | * integrate capabilities from Halcon | + | |
- | * operate autonomously | + | |
- | Requirements: | + | == Integrating PR2 in the Unreal Game Engine Framework (BA/MA/HiWi)== |
- | * Good programming skills | + | {{ : |
- | * ROS, OpenCV | + | |
- | [1] http://www.halcon.de/ | + | Integrating the [[https:// |
- | Contact: [[team: | + | Requirements: |
+ | * Good programming skills in C/C++ | ||
+ | * Basic physics/ | ||
+ | * Basic ROS knowledge | ||
+ | * UE4 basic tutorials | ||
- | == On-the-fly 3D CAD model creation (MA)== | + | Contact: [[team: |
- | 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: | + | == Realistic Grasping using Unreal Engine (BA/MA/HiWi) == |
- | * Good programming skills in C/C++ | + | |
- | * strong background in computer vision | + | |
- | * ROS, OpenCV, PCL | + | |
- | Contact: [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]] | + | {{ |
- | == Simulation | + | The objective |
+ | ious human-like grasping approaches in a game developed using [[https:// | ||
- | Create | + | The game consist of a household |
+ | 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 C/C++ | + | * Good programming skills in C++ |
- | * strong background in computer vision | + | * Good knowledge of the Unreal Engine API. |
- | * Gazebo, OpenCV, PCL | + | * Experience with skeletal control / animations / 3D models in Unreal Engine. |
- | 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: | + | 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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