Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
jobs [2015/03/23 13:18] – raider | jobs [2019/08/12 11:54] – [Theses and Student Jobs] mareikep | ||
---|---|---|---|
Line 1: | Line 1: | ||
~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | =====Theses and Student Jobs===== | ||
+ | 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 a severe slow-down. In this thesis, state-of-the-art GPU frameworks (e.g. CUDA) are to be investigated in order implement numerical optimizers that substantially profit from parallel execution. | ||
- | |||
- | Requirements: | ||
- | * Skills in numerical optimization algorithms | ||
- | * Good programming skills in Python and C/C++ | ||
- | Contact: [[team: | ||
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding | + | == Visualization support assistant |
- | Markov Logic Networks (MLNs) combine the expressive power of first-order logic and probabilistic graphical models. In the past, they have been successfully applied to the problem of semantically interpreting and completing natural-language instructions from the web. State-of-the-art learning techniques mostly operate in batch mode, i.e. all training instances need to be known in the beginning of the learning process. In context of this thesis, online learning methods | + | Implementing a visualization |
Requirements: | Requirements: | ||
- | * Experience in Machine Learning. | + | * Good python programming skills |
- | * Experience with statistical relational learning | + | * Familiar with Javascript |
- | * Good programming skills in Python. | + | * Experience |
+ | * Familiar | ||
+ | * Able to work independently with minimal supervision | ||
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:mareike_picklum|Mareike Picklum]] |
- | ==HiWi-Position: | + | == Knowledge-enabled PID Controller |
- | In the context of the European research project RoboHow.Cog [1,2] we | + | Implementing a force-, velocity- and impulse-based PID controller |
- | are investigating methods | + | of the human user will be mapped |
- | + | The controller should be able to dynamically tune itself depending on the executed actions | |
- | The Institute for Artificial Intelligence is hiring a student researcher for the | + | |
- | development and the integration of probabilistic methods in AI, which enable intelligent robots | + | |
- | + | ||
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | |
- | + | ||
- | Tasks: | + | |
- | * Implementation of an interface | + | |
- | * Linkage of the knowledge base to the executive | + | |
- | * Support for the scientific staff in extending and integrating components onto the robot platform PR2. | + | |
Requirements: | Requirements: | ||
- | * Studies in Computer Science (Bachelor' | + | * Good C++ programming skills |
- | * Basic skills in Artificial Intelligence | + | * Familiar with PID controllers and control theory |
- | * Optional: basic skills in Probability Theory | + | * Experience with simulators/ |
- | * Optional: basic skills in Machine Learning | + | * Experience with Unreal Engine |
- | * Good programming skills in Python and Java | + | * Familiar with version-control systems (git) |
+ | * Able to work independently with minimal supervision | ||
- | Hours: 10-20 h/week | + | Contact: [[team: |
- | Contact: [[team: | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | [1] www.robohow.eu\\ | + | Technical support for the group for Lisp and the CRAM framework. \\ |
- | [2] http:// | + | 8+ hours per week for up to 1 year (paid). |
+ | Requirements: | ||
+ | * Good programming skills in Common Lisp | ||
+ | * Basic ROS knowledge | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | + | 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. |
- | {{ : | + | |
- | Developing new activities and improving the current simulation framework done under the [[http:// | + | Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]] |
- | + | --></ | |
- | Requirements: | + | |
- | * Good programming skills in C/C++ | + | |
- | * Basic physics/ | + | |
- | * Gazebo simulator basic tutorials | + | |
- | + | ||
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | |
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | + | < |
- | {{ :research:eye_tracker.png?200|}} | + | == Mesh Editing / Mesh Segmentation/ |
+ | {{ :research:human_hand_cutting.png?150|}} | ||
- | Integrating the eye tracker | + | |
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good knowledge |
- | * Gazebo simulator basic tutorials | + | * Familiar with Blender / Maya (or other) |
- | Contact: [[team: | + | Contact: [[team/ |
+ | --></ | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices | + | < |
- | {{ :research:leap_motion.jpg? | + | == 3D Model / Material / Lightning Developer |
+ | {{ :research:kitchen_unreal.jpg? | ||
- | Improving the skeletal tracking offered by the [[https://developer.leapmotion.com/ | + | Developing and improving existing 3D models in Blender |
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | Bonus: Working with state of the art 3D Scanners [[https:// |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Experience with Blender |
+ | * Knowledge of Unreal Engine material / lightning development | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | Contact: [[team: | ||
- | == Fluid Simulation in Gazebo (BA/MA)== | ||
- | {{ : | ||
- | [[http:// | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | + | --></html> | |
- | 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 | + | |
- | and should be implemented (PCISPH/IISPH). | + | |
- | + | ||
- | 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://www.ogre3d.org/|OGRE]] is used. | + | < |
+ | == Integrating PR2 in the Unreal Game Engine Framework (BA/MA/HiWi)== | ||
+ | {{ : | ||
- | Here is a [[https://vimeo.com/104629835|video]] example of the current state of the fluid in Gazebo. | + | Integrating the [[https://www.willowgarage.com/pages/ |
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. | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | [1] http:// | ||
- | Contact: [[team: | + | Contact: [[team/ |
+ | --></ | ||
- | == On-the-fly 3D CAD model creation | + | < |
+ | == Unreal Engine Editor Developer | ||
+ | {{ : | ||
- | Create models during runtime | + | Creating new user interfaces (panel customization) |
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * strong background in computer vision | ||
- | * ROS, OpenCV, PCL | ||
- | Contact: [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]] | + | Requirements: |
+ | * Good C++ programming skills | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | == Simulation of a robots belief state to support perception(MA) == | + | Contact: [[team: |
- | 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: | + | == OpenEASE rendering in Unreal Engine (BA/MA Thesis, Student Job / HiWi)== |
- | == 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 | + | Implmenting the rendering of the [[https:// |
- | Requirements: | + | Requirements: |
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
- | * strong background in 3D vision | + | * Familiar with Unreal Engine API |
- | * basic knowledge of ROS, OpenCV, PCL | + | * 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 | ||
- | Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
+ | --></ |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
Discover our VRB for innovative and interactive research
Memberships and associations: