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If you are looking for a bachelor/ | If you are looking for a bachelor/ | ||
- | == Web-based knowledge visualizations (BA/HiWi) == | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | {{ : | + | Technical support for the group for Lisp and the CRAM framework. \\ |
- | + | 5 hours per week for up to 1 year (paid). | |
- | The knowledge base visualization allows to display semantic environment maps, | + | |
- | objects, human poses, trajectories and similar information stored in the | + | |
- | robot' | + | |
- | is written in Java and has grown old over the years. Recently, there has been | + | |
- | much progress in creating [[http:// | + | |
- | 3D visualizations]] | + | |
- | [[http:// | + | |
- | a web-based version of the visualization using these techniques. | + | |
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good programming skills |
- | * Experience with JavaScript development | + | * Basic ROS knowledge |
- | * Knowledge of Web technologies (HTML, XML, OWL) | + | |
- | 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. |
+ | Contact: [[team: | ||
+ | --> | ||
+ | </ | ||
- | == Tools for knowledge acquisition from the Web (BA/ | ||
- | There are several options for doing a project related to the acquisition of | + | == Integrating PR2 in the Unreal Game Engine Framework (BA)== |
- | knowledge from Web sources like online shops, repositories of object models, | + | {{ : |
- | recipe databases, etc. | + | |
+ | Integrating the [[https:// | ||
Requirements: | Requirements: | ||
- | * Programing | + | * Good programming |
- | * Experience with Web languages and datamining techniques is helpful | + | * Basic physics/ |
- | * Depending on the focus of the project, experience with database technology, natural-language processing or computer vision may be helpful | + | * Basic ROS knowledge |
+ | * UE4 basic tutorials | ||
- | Contact: [[team:moritz_tenorth|Moritz Tenorth]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | == GPU-based Parallelization of Numerical Optimization Techniques | + | == Realistic Grasping using Unreal Engine |
- | 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: | + | The objective of the project is to implement var- |
- | * Skills | + | ious human-like grasping approaches |
- | * Good programming skills in Python and C/C++ | + | |
- | 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. |
- | == Online Learning | + | 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: | ||
+ | * Good programming skills in C++ | ||
+ | * Good knowledge of the Unreal Engine API. | ||
+ | * Experience with skeletal control / animations / 3D models in Unreal Engine. | ||
- | Markov Logic Networks | + | |
+ | Contact: [[team/ | ||
+ | |||
+ | == Kitchen Activity Games in a Realistic Robotic Simulator | ||
+ | {{ : | ||
+ | |||
+ | Developing new activities | ||
Requirements: | Requirements: | ||
- | * Experience | + | * Good programming skills |
- | * Experience with statistical relational learning (e.g. MLNs) is helpful. | + | * Basic physics/ |
- | * Good programming skills in Python. | + | * Gazebo simulator basic tutorials |
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | ==HiWi-Position: | ||
- | In the context of the European research project RoboHow.Cog [1,2] we | ||
- | are investigating methods for combining multimodal sources of knowledge (e.g. video, natural-language recipes or computer games), in order to enable mobile robots to autonomously acquire new high level skills like cooking meals or straightening up rooms. | ||
- | The Institute for Artificial Intelligence is hiring a student researcher for the | + | == Automated sensor calibration toolkit (BA/MA)== |
- | development and the integration of probabilistic methods in AI, which enable intelligent robots to understand, interpret and execute natural-language instructions from recipes from the World Wide Web. | + | |
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | 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 |
- | Tasks: | + | The topic for this thesis is to develop |
- | * Implementation of an interface to the Robot Operating System (ROS). | + | |
- | * Linkage of the knowledge base to the executive of the robot. | + | |
- | * Support | + | |
- | Requirements: | + | {{ : |
- | * Studies in Computer Science (Bachelor' | + | The system should: |
- | * Basic skills in Artificial Intelligence | + | * be independent of the camera type |
- | * Optional: basic skills in Probability Theory | + | * estimate intrinsic and extrinsic parameters |
- | * Optional: basic skills in Machine Learning | + | * calibrate depth images (case of RGB-D) |
- | * Good programming skills in Python and Java | + | * integrate capabilities from Halcon [1] |
+ | * operate autonomously | ||
- | Hours: 10-20 h/week | + | Requirements: |
+ | * Good programming skills in Python and C/C++ | ||
+ | * ROS, OpenCV | ||
- | Contact: | + | [1] http:// |
- | [1] www.robohow.eu\\ | + | Contact: |
- | [2] http:// | + | |
- | == HiWi position: Segmentation and interpretation of 3D object models | + | /* |
+ | == On-the-fly | ||
- | {{ : | + | 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, |
- | Competent object interaction requires knowledge about the structure and | + | Requirements: |
- | composition of objects. In an ongoing research project, we are investigating | + | * Good programming skills in C/C++ |
- | how part-based object models can automatically be extracted from CAD models | + | * strong background in computer vision |
- | found on the Web, e.g. on the [[http:// | + | * ROS, OpenCV, PCL |
- | We are looking for a student research assistant to push this topic forward. | + | Contact: [[team: |
- | In close collaboration with the researchers of the Institute for Artificial | + | |
- | Intelligence, | + | |
- | segmentation, | + | |
- | methods into the robot' | + | |
- | the segmentation results. Depending on the results, cooperation on joint | + | |
- | publications may be possible. | + | |
- | This HiWi position can serve as a starting point for future Bachelor' | + | == Simulation of a robots belief state to support perception(MA) == |
- | Master' | + | |
- | project that could be worked on as a Master' | + | |
- | Requirements: | + | 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, |
- | * Good Java programming skills | + | |
- | * Basic knowledge | + | Requirements: |
- | * Experience | + | * Good programming skills |
+ | * strong background in computer vision | ||
+ | * Gazebo, OpenCV, PCL | ||
+ | |||
+ | Contact: [[team: | ||
+ | */ | ||
+ | |||
+ | == Multi-expert segmentation | ||
+ | |||
+ | 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: | ||
+ | |||
+ | == Semantic Collision Checking for Planning Robot Manipulation Tasks == | ||
+ | {{ : | ||
+ | Service robots helping humans at home shall perform manipulation tasks like wiping a table or polishing glass surfaces. To successfully complete these tasks, robots needs to establish the ' | ||
+ | |||
+ | The goal of this project is to interface existing collision checking software from MoveIt! | ||
+ | |||
+ | Requirements: | ||
+ | * basic knowledge of ROS | ||
+ | * basic knowledge of robotics | ||
+ | * interest in using KnowRob and MoveIt! | ||
+ | |||
+ | 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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