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jobs [2014/02/18 21:22] – tenorth | jobs [2015/03/19 13:27] – [Theses and Jobs] raider | ||
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If you are looking for a bachelor/ | If you are looking for a bachelor/ | ||
- | == Web-based knowledge visualizations (BA/HiWi) == | ||
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- | {{ : | ||
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- | 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]] for ROS that can also be accessed with a | ||
- | [[http:// | ||
- | a web-based version of the visualization using these techniques. | ||
- | |||
- | Requirements: | ||
- | * Good programming skills | ||
- | * Experience with JavaScript development | ||
- | * Knowledge of Web technologies (HTML, XML, OWL) | ||
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- | Contact: [[team: | ||
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- | == Tools for knowledge acquisition from the Web (BA/ | ||
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- | There are several options for doing a project related to the acquisition of | ||
- | knowledge from Web sources like online shops, repositories of object models, | ||
- | recipe databases, etc. | ||
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- | Requirements: | ||
- | * Programing skills (Java) | ||
- | * Experience with Web languages and datamining techniques is helpful | ||
- | * Depending on the focus of the project, experience with database technology, natural-language processing or computer vision may be helpful | ||
- | |||
- | Contact: [[team: | ||
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[2] http:// | [2] http:// | ||
- | == HiWi position: Segmentation and interpretation of 3D object models (HiWi/MA) == | ||
- | {{ :research:cup2-segmented.png?170}} | + | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ |
+ | {{ :research:gz_env1.png?200|}} | ||
- | Competent object interaction requires knowledge about the structure | + | Developing new activities |
- | composition of objects. In an ongoing research project, we are investigating | + | |
- | how part-based object models can automatically be extracted from CAD models | + | |
- | found on the Web, e.g. on the [[http://sketchup.google.com/3dwarehouse|3D warehouse]]. | + | |
- | We are looking for a student research assistant to push this topic forward. | + | Requirements: |
- | In close collaboration with the researchers of the Institute for Artificial | + | * Good programming skills in C/C++ |
- | Intelligence, | + | * Basic physics/ |
- | segmentation, | + | * Gazebo simulator basic tutorials |
- | 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' | + | Contact: [[team: |
- | Master' | + | |
- | project that could be worked on as a Master' | + | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== |
+ | {{ :research: | ||
+ | |||
+ | Integrating the eye tracker in the [[http:// | ||
Requirements: | Requirements: | ||
- | * Good Java programming skills | + | * Good programming skills |
- | * Basic knowledge of 3D geometry calculations | + | * Gazebo simulator basic tutorials |
- | * Experience with working with 3D models is helpful | + | |
+ | 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: | ||
+ | * Good programming skills in C/C++ | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | == Fluid Simulation in Gazebo (BA/MA)== | ||
+ | {{ : | ||
+ | |||
+ | [[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 | ||
+ | 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 [[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: | ||
+ | |||
+ | |||
+ | == Automated sensor calibration toolkit (MA)== | ||
+ | |||
+ | 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. | ||
+ | |||
+ | {{ : | ||
+ | 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 [1] | ||
+ | * operate autonomously | ||
+ | |||
+ | Requirements: | ||
+ | * Good programming skills in Python and C/C++ | ||
+ | * ROS, OpenCV | ||
+ | |||
+ | [1] http:// | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | == On-the-fly | ||
+ | |||
+ | Create | ||
+ | |||
+ | Requirements: | ||
+ | * 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) == | ||
+ | |||
+ | 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: | ||
+ | |||
+ | == 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 | ||
- | Contact: [[team: | + | Requirements: |
+ | * Good programming skills in C/C++ | ||
+ | * strong background in 3D vision | ||
+ | * basic knowledge of ROS, OpenCV, PCL | ||
+ | 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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