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jobs [2015/10/15 09:22] – [Theses and Jobs] froggy86 | jobs [2019/08/30 13:49] – [Open researcher positions] nyga | ||
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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | == PhD Student Position in Machine Learning for Robotic Systems== | ||
+ | The position is part of the research project „PIPE – Probabilistic Models of Instructions, | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | + | The project investigates methods |
- | {{ : | + | |
- | Developing new activities and improving the current simulation framework done under the [[http:// | + | Tasks: |
+ | |||
+ | * Develop and implement machine learning models and algorithms | ||
+ | * Create documentation and presentations of research results at international scientific conferences | ||
+ | * Work independently and enthusiastically | ||
+ | * Contribute | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * Basic physics/ | ||
- | * Gazebo simulator basic tutorials | ||
- | Contact: [[team: | + | * Excellent Master‘s degree in computer science with major in artificial intelligence and/or machine learning (or equivalent). |
+ | * Excellent skills in theory and practice of machine learning/ | ||
+ | * Excellent programming skills in the Python programming language, C/C++ is beneficial | ||
+ | * Experience in software development under Linux | ||
+ | * Excellent oral and written level in English, especially in technical English. Skills in German is beneficial. | ||
+ | * Very good organizational skills and team spirit | ||
- | == Integrating Eye Tracking | + | We are searching for an enthusiastic and dynamic colleague who is interested |
- | {{ :research: | + | |
- | Integrating the eye tracker in the [[http://gazebosim.org/|Gazebo]] based Kitchen Activity Games framework | + | More information can be found at: |
+ | |||
+ | [[https://www.uni-bremen.de/ | ||
+ | =====Theses | ||
+ | If you are looking for a bachelor/ | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | == Visualization support assistant (HiWi) == | ||
+ | |||
+ | Implementing a visualization web page for a project using a custom framework using python/ | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good python |
- | * Gazebo simulator basic tutorials | + | * Familiar with Javascript |
+ | * Experience | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | Contact: [[team:mareike_picklum|Mareike Picklum]] |
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | ||
- | {{ : | ||
- | Improving the skeletal tracking offered by the [[https:// | + | == Knowledge-enabled PID Controller for 3D Hand Movements in Virtual Environments (BA/MA Thesis) == |
- | The tracked | + | Implementing a force-, velocity- and impulse-based PID controller for precise and responsive |
+ | of the human user will be mapped to the virtual hands, and controlled via the implemented PID controllers. | ||
+ | The controller should be able to dynamically tune itself depending on the executed actions (opening/ | ||
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good C++ programming skills |
+ | * Familiar with PID controllers and control theory | ||
+ | * Experience with simulators/game engines is recommended | ||
+ | * Experience with Unreal Engine | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
- | == Fluid Simulation in Gazebo (BA/MA)== | + | < |
- | {{ : | + | == Lisp / CRAM support assistant (HiWi) == |
- | [[http:// | + | Technical support for the group for Lisp and the CRAM framework. \\ |
+ | 8+ hours per week for up to 1 year (paid). | ||
- | Currently there is an [[http:// | + | Requirements: |
+ | * Good programming skills | ||
+ | * Basic ROS knowledge | ||
- | The computational method for the fluid simulation | + | 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 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). | + | Contact: [[team: |
+ | --></ | ||
- | Another topic would be the visualization of the fluid, currently is done by rendering every particle. For the rendering engine [[http://www.ogre3d.org/|OGRE]] is used. | + | < |
+ | == Mesh Editing | ||
+ | {{ : | ||
- | Here is a [[https:// | + | |
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good knowledge |
- | * Interest in Fluid simulation | + | * Familiar with Blender |
- | * Basic physics/rendering engine knowledge | + | |
- | * Gazebo simulator and Fluidix basic tutorials | + | |
- | Contact: [[team: | + | Contact: [[team/ |
+ | --></ | ||
+ | < | ||
+ | == 3D Model / Material / Lightning Developer (Student Job / HiWi)== | ||
+ | {{ : | ||
- | == Automated sensor calibration toolkit (BA/MA)== | + | Developing and improving existing 3D models in Blender |
- | Computer vision is an important part of autonomous robots. For robots | + | Bonus: Working with state of the art 3D Scanners [[https:// |
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | + | Requirements: |
+ | * Experience with Blender / Maya (or other) | ||
+ | * Knowledge of Unreal Engine material / lightning development | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | {{ : | ||
- | 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: |
+ | --></html> | ||
- | Contact: [[team:alexis_maldonado|Alexis Maldonado]] and [[team: | + | < |
+ | == Integrating PR2 in the Unreal Game Engine Framework (BA/ | ||
+ | | ||
- | == On-the-fly 3D CAD model creation (MA)== | + | Integrating |
- | 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: |
- | + | ||
- | Requirements: | + | |
* Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
- | * strong background in computer vision | + | * Basic physics/ |
- | * ROS, OpenCV, PCL | + | * Basic ROS knowledge |
+ | * UE4 basic tutorials | ||
- | Contact: [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | == 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, | + | == Realistic Grasping using Unreal Engine (BA/ |
+ | {{ : | ||
+ | |||
+ | 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 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 C/C++ | + | * Good programming skills in C++ |
- | * strong background | + | * Good knowledge of the Unreal Engine API. |
- | * Gazebo, OpenCV, PCL | + | * Experience with skeletal control / animations / 3D models |
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | Contact: [[team: | ||
- | == Multi-expert segmentation of cluttered and occluded scenes == | + | Contact: [[team/ |
+ | --></ | ||
- | 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, | + | < |
+ | == Unreal Engine Editor Developer (Student Job / HiWi)== | ||
+ | {{ : | ||
- | Requirements: | + | Creating new user interfaces (panel customization) for various internal plugins using the Unreal |
- | * Good programming skills in C/C++ | + | |
- | * strong background in 3D vision | + | |
- | * basic knowledge of ROS, OpenCV, PCL | + | |
- | Contact: [[team: | ||
- | == Robot control systems | + | Requirements: |
+ | * Good C++ programming skills | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems | ||
+ | * Able to work independently with minimal supervision | ||
- | The use of robots in underwater missions shows a challenging task. The dynamic terrain and its different conditions makes it difficult for robots to perform tasks correctly. In order to accomplish tasks in a proper way, the robot control routines have to be coordinated. The topic of this thesis is to develop robot control systems for underwater robotics in an underwater mission in order to navigate and to execute tasks correctly in the terrain. | + | Contact: [[team: |
- | Requirements: | ||
- | * Good programming skills in C/C++ or JAVA | ||
- | * basic knowledge of ROS, BLENDER | ||
- | Contact: [[team:fereshta_yazdani|Fereshta Yazdani]] | + | |
+ | == OpenEASE rendering in Unreal Engine (BA/MA Thesis, Student Job / HiWi)== | ||
+ | |||
+ | |||
+ | Implmenting the rendering of the [[https:// | ||
+ | |||
+ | Requirements: | ||
+ | * Good C++ programming skills | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with HTML5 and JavaScript | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with basic ROS communication | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | |||
+ | Contact: [[team:andrei_haidu|Andrei Haidu]] | ||
+ | --></ |
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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