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 [2014/08/29 09:12] – added new theses hiwi with gazebo gaming ahaidu | jobs [2015/03/19 12:25] – [Theses and Jobs] balintbe | ||
---|---|---|---|
Line 57: | Line 57: | ||
- | == Depth-Adaptive Superpixels | + | == Kitchen Activity Games in a Realistic Robotic Simulator |
- | {{ :research:dt_dasp.png?200|}} | + | {{ :research:gz_env1.png? |
- | We are currently investigating a new set of sensors (RGB-D-T), which is a combination of a kinect with a thermal image camera. Within this project we want to enhance the Depth-Adaptive Superpixels (DASP) to make use of the thermal sensor data. Depth-Adaptive Superpixels oversegment an image taking into account the depth value of each pixel. | + | |
- | Since the current | + | Developing new activities and improving |
Requirements: | Requirements: | ||
- | | + | * Good programming skills in C/C++ |
- | | + | * Basic physics/ |
- | * Experience with CUDA is helpful | + | * Gazebo simulator basic tutorials |
- | Contact: [[team:jan-hendrik_worch|Jan-Hendrik Worch]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
+ | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | ||
+ | {{ : | ||
- | == Physical Simulation of Humans (BA/MA)== | + | 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. |
- | | + | |
- | For tracking | + | 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 | ||
+ | |||
+ | The tracked hand can then be used as input for the Kitchen Activity Games framework. | ||
Requirements: | Requirements: | ||
* Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
- | * Optional: Experience in working with physics libraries such as Bullet | ||
- | Contact: [[team:jan-hendrik_worch|Jan-Hendrik Worch]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | == Kitchen Activity Games in a Realistic Robotic Simulator | + | == Fluid Simulation |
- | {{ :research:gz_env1.png? | + | {{ :research:fluid.png? |
- | Developing new activities and improving | + | [[http:// |
- | under the Gazebo | + | |
+ | Currently there is an [[http:// | ||
+ | |||
+ | The computational method | ||
+ | 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: | 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 tutorials | ||
Contact: [[team: | 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 master 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 intrinsics and extrinsics | ||
+ | * have depth calibration (case of RGBD) | ||
+ | * integrate capabilities from Halcon [1] | ||
+ | |||
+ | Requirements: | ||
+ | * Good programming skills in Python and C/C++ | ||
+ | * ROS, OpenCV | ||
+ | |||
+ | [1] http:// | ||
+ | |||
+ | 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
Discover our VRB for innovative and interactive research
Memberships and associations: