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jobs [2016/03/03 07:52] – [Theses and Jobs] ahaidu | jobs [2017/08/04 09:32] – amaldo | ||
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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | + | |
+ | =====Open researcher positions===== | ||
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+ | == Knowledge bases and knowledge acquisition == | ||
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+ | Position code A132/17. Please see [[http:// | ||
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+ | == Researcher with background in VR programming == | ||
+ | |||
+ | Position code A133/17. Please see [[http:// | ||
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+ | =====Theses and Student | ||
If you are looking for a bachelor/ | If you are looking for a bachelor/ | ||
+ | |||
== Lisp / CRAM support assistant (HiWi) == | == Lisp / CRAM support assistant (HiWi) == | ||
Technical support for the group for Lisp and the CRAM framework. \\ | Technical support for the group for Lisp and the CRAM framework. \\ | ||
- | 5 hours per week for up to 1 year (paid). | + | 8+ hours per week for up to 1 year (paid). |
Requirements: | Requirements: | ||
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- | == Integrating PR2 in the Unreal Game Engine Framework (BA)== | + | |
+ | == Integrating PR2 in the Unreal Game Engine Framework (BA/MA)== | ||
{{ : | {{ : | ||
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Contact: [[team: | Contact: [[team: | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA)== | ||
- | {{ : | ||
- | Developing new activities and improving the current simulation framework done under the [[http:// | + | == Realistic Grasping using Unreal Engine (BA/MA) == |
- | Requirements: | + | {{ : |
- | * Good programming skills in C/C++ | + | |
- | * Basic physics/ | + | |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: | + | The objective of the project is to implement var- |
+ | ious human-like grasping approaches in a game developed using [[https:// | ||
+ | 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. | ||
- | + | In order to improve | |
- | + | be able to switch during runtime | |
- | == Automated sensor calibration toolkit (BA/MA)== | + | grasp, precision grip etc.) he/she would like to use. |
- | + | | |
- | Computer vision is an important part of autonomous robots. For robots | + | |
- | + | ||
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras | + | |
- | + | ||
- | {{ : | + | |
- | The system should: | + | |
- | | + | |
- | * estimate intrinsic and extrinsic parameters | + | |
- | * calibrate depth images (case of RGB-D) | + | |
- | * integrate capabilities from Halcon [1] | + | |
- | * operate autonomously | + | |
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. | ||
- | [1] http:// | ||
- | Contact: [[team: | + | Contact: [[team/ |
- | == On-the-fly 3D CAD model creation | + | == Kitchen Activity Games in a Realistic Robotic Simulator |
+ | {{ : | ||
- | Create models during runtime for unknown textured objets based on depth and color information. Track the object and update | + | Developing new activities |
- | Requirements: | + | Requirements: |
* Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
- | * strong background in computer vision | + | * Basic physics/rendering |
- | * ROS, OpenCV, PCL | + | * Gazebo |
- | + | ||
- | 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 | + | |
- | + | ||
- | 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 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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