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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | We don't have any open job offers right now. | ||
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques (BA/MA/HiWi)== | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | 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 | + | Technical support for the group for Lisp and the CRAM framework. \\ |
+ | 8+ hours per week for up to 1 year (paid). | ||
Requirements: | Requirements: | ||
- | * Skills | + | * Good programming skills |
- | * Good programming skills in Python and C/C++ | + | * 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. |
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding (MA)== | + | Contact: [[team: |
+ | --></ | ||
- | 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 | + | == 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 |
- | * Experience | + | |
- | * Experience | + | |
- | * Good programming skills | + | |
- | Contact: [[team: | + | Perspective of future BA/MA topics in this project! |
+ | If you're interested, contact [[team: | ||
- | ==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots== | + | == 3D Model / Material / Lightning Developer (Student Job / HiWi)== |
+ | {{ : | ||
- | In the context of the European research project RoboHow.Cog [1,2] we | + | Developing and improving existing 3D models in Blender / Maya (or other). Importing the models in Unreal Engine, where the Materials and Lightning should be improved |
- | are investigating methods for combining multimodal sources of knowledge | + | |
- | The Institute for Artificial Intelligence is hiring a student researcher for the | + | Bonus: Working with state of the art 3D Scanners [[https://www.goscan3d.com/ |
- | development and the integration | + | |
- | + | ||
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | |
- | + | ||
- | Tasks: | + | |
- | * Implementation of an interface to the Robot Operating System (ROS). | + | |
- | * Linkage of the knowledge base to the executive of the robot. | + | |
- | * Support | + | |
Requirements: | Requirements: | ||
- | * Studies in Computer Science | + | * Experience with Blender / Maya (or other) |
- | * Basic skills in Artificial Intelligence | + | * Knowledge of Unreal Engine material / lightning development |
- | * Optional: basic skills in Probability Theory | + | |
- | * Optional: basic skills in Machine Learning | + | |
- | * Good programming skills in Python and Java | + | |
- | Hours: 10-20 h/week | ||
- | Contact: [[team: | ||
- | |||
- | [1] www.robohow.eu\\ | ||
- | [2] http:// | ||
- | |||
- | |||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | ||
- | {{ : | ||
- | |||
- | 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 Eye Tracking in the Kitchen Activity Games (BA/MA)== | + | == Unreal Engine Editor Developer |
- | {{ :research:eye_tracker.png? | + | {{ :research:unreal_editor.png? |
- | Integrating the eye tracker in the [[http://gazebosim.org/|Gazebo]] based Kitchen Activity Games framework and logging the gaze of the user during the gameplay. From the information typical activities should be inferred. | + | Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework |
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * Gazebo simulator basic tutorials | ||
- | |||
- | Contact: [[team: | ||
- | |||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | ||
- | {{ : | ||
- | |||
- | Improving the skeletal tracking offered by the [[https:// | ||
- | |||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
+ | * Familiar with the [[https:// | ||
+ | * Familiar with Unreal Engine API | ||
Contact: [[team: | Contact: [[team: | ||
- | == Fluid Simulation | + | == Integrating PR2 in the Unreal Game Engine Framework |
- | {{ :research:fluid.png?200|}} | + | {{ :research:unreal_ros_pr2.png?100|}} |
- | [[http://gazebosim.org/ | + | Integrating the [[https://www.willowgarage.com/pages/pr2/overview|PR2]] robot with [[http:// |
- | + | ||
- | Currently there is an [[http://gazebosim.org/tutorials? | + | |
- | + | ||
- | 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 (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 | + | |
- | + | ||
- | 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 master thesis | + | The objective of the project |
+ | ious human-like grasping approaches in a game developed using [[https:// | ||
- | The system should be: | + | The game consist |
- | * independent | + | |
- | * estimate intrinsics and extrinsics | + | |
- | * have depth calibration (case of RGBD) | + | |
- | * integrate capabilities from Halcon [1] | + | |
+ | 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 |
- | + | * Experience with skeletal control | |
- | [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 | + | |
- | + | ||
- | Create a simulation environment that represents | + | |
- | + | ||
- | Requirements: | + | |
- | * Good programming skills in C/C++ | + | |
- | * strong background | + | |
- | * 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: | ||
+ | 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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