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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | == Doctoral Candidate / Early Stage Researcher position == | ||
+ | As a research associate at the Institute for Artificial Intelligence, | ||
- | == Integrating PR2 in the Unreal Game Engine Framework (BA)== | + | In particular, your challenges comprise the following: |
- | {{ :research: | + | * the development and implementation of probabilistic models and algorithms for learning and reasoning |
+ | * 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 authoring of research | ||
- | Integrating the [[https://www.willowgarage.com/pages/pr2/overview|PR2]] robot with [[http://www.ros.org/|ROS]] support | + | Prerequisites: |
+ | * Successfully completed Master' | ||
+ | * very good skills in Machine Learning and Data Mining; esp. experience with probabilistic graphical models (Bayesian networks/Markov random fields/Markov logic networks) and related formalisms, | ||
+ | * very good programming skills in the Python/Cython/C/C++ programming languages and respective libraries for scientific computing (numpy/scipy/ | ||
+ | * experience | ||
- | Requirements: | + | Besides the willingness and ability to quickly dive into new and complex research scenarios and topics, we expect organizational |
- | * Good programming | + | |
- | * Basic physics/ | + | |
- | * Basic ROS knowledge | + | |
- | * UE4 basic tutorials | + | |
- | Contact: [[team: | + | Research associate |
+ | with the Institute for Artificial Intelligence | ||
+ | at the University of Bremen, Germany, | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA)== | + | Salary is according to the German Federal pay scale, TV-L 13, full-time. The position is available as soon as possible. |
- | {{ : | + | |
- | Developing new activities and improving the current simulation framework done under the [[http://gazebosim.org/|Gazebo]] robotic simulator. Creating | + | Please send your application (cover letter, CV, certificates, |
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
+ | |||
+ | < | ||
+ | == Lisp / CRAM support assistant (HiWi) == | ||
+ | |||
+ | Technical support | ||
+ | 8+ hours per week for up to 1 year (paid). | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good programming skills in Common Lisp |
- | * Basic physics/ | + | * Basic ROS knowledge |
- | * Gazebo simulator basic tutorials | + | |
- | 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. |
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | + | Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]] |
- | | + | --></ |
- | Integrating the eye tracker in the [[http:// | + | == Student job for data visualization == |
- | Requirements: | + | 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 as well as to the non-scientific audience, we want to visualize its ideas and concepts |
- | * Good programming skills | + | |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: [[team: | + | Perspective of future BA/MA topics in this project! |
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | + | If you're interested, contact [[team:mareike_picklum|Mareike Picklum]] |
- | | + | |
- | Improving the skeletal tracking offered by the [[https:// | ||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | < |
+ | == 3D Model / Material / Lightning Developer (Student Job / HiWi)== | ||
+ | {{ : | ||
- | Requirements: | + | Developing and improving existing 3D models |
- | * Good programming skills | + | |
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | Bonus: Working with state of the art 3D Scanners |
- | == Fluid Simulation in Gazebo (BA/MA)== | + | Requirements: |
- | {{ : | + | * Experience with Blender |
+ | * Knowledge of Unreal Engine material / lightning development | ||
- | [[http:// | ||
- | Currently there is an [[http:// | ||
- | 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: | + | 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, | + | == Unreal Engine Editor Developer (Student Job / HiWi)== |
+ | {{ : | ||
- | Requirements: | + | Creating new user interfaces (panel customization) for various internal plugins using the Unreal |
- | * 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) == | + | Requirements: |
+ | * Good C++ programming skills | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with Unreal Engine API | ||
- | 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, | + | Contact: [[team: |
- | 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 | + | == OpenEASE rendering in Unreal Engine (BA/MA Thesis, Student Job / HiWi)== |
- | 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: | + | Implmenting the rendering of the [[https:// |
- | * Good programming skills in C/C++ | + | |
- | * strong background in 3D vision | + | |
- | * basic knowledge | + | |
- | Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]] | + | Requirements: |
+ | * Good C++ programming skills | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with HTML5 and JavaScript | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with basic ROS communication | ||
- | == Robot control systems in underwater robotics == | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | + | ||
- | 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:fereshta_yazdani|Fereshta Yazdani]] | + |
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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