Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision		Previous revision
Next revisionBoth sides next revision
jobs [2014/08/29 09:12] – added new theses hiwi with gazebo gaming ahaidujobs [2017/05/03 12:37] – gkazhoya
Line 4: Line 4:
  
  
 +== Lisp / CRAM support assistant (HiWi) ==
  
-== GPU-based Parallelization of Numerical Optimization Techniques (BA/MA/HiWi)== +Technical support for the group for Lisp and the CRAM framework. \\ 
- +8-16 hours per week for up to 1 year (paid).
-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: Requirements:
-  * Skills in numerical optimization algorithms +  * Good programming skills in Common Lisp 
-  * Good programming skills in Python and C/C+++  * Basic ROS knowledge
  
-Contact: [[team:daniel_nyga|Daniel Nyga]]+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.
  
-== Online Learning of Markov Logic Networks for Natural-Language Understanding (MA)==+Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]]
  
-Markov Logic Networks (MLNs) combine the expressive power of first-order logic and probabilistic graphical models. In the past, they have been successfully applied to the problem of semantically interpreting and completing natural-language instructions from the web. State-of-the-art learning techniques mostly operate in batch mode, i.e. all training instances need to be known in the beginning of the learning process. In context of this thesis, online learning methods for MLNs are to be investigated, which allow incremental learning, when new examples come in one-by-one. 
  
-Requirements: 
-  * Experience in Machine Learning. 
-  * Experience with statistical relational learning (e.g. MLNs) is helpful. 
-  * Good programming skills in Python. 
  
-Contact: [[team:daniel_nyga|Daniel Nyga]]+== Integrating PR2 in the Unreal Game Engine Framework (BA)== 
 + {{ :research:unreal_ros_pr2.png?200|}} 
  
- +Integrating the [[https://www.willowgarage.com/pages/pr2/overview|PR2]] robot with [[http://www.ros.org/|ROS]] support in the [[https://www.unrealengine.com|Unreal Engine 4]] Framework.
-==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots== +
- +
-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 +
-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's, Master's or Diploma Theses. +
- +
-Tasks: +
-  * Implementation of an interface to the Robot Operating System (ROS). +
-  * Linkage of the knowledge base to the executive of the robot. +
-  * Support for the scientific staff in extending and integrating components onto the robot platform PR2.+
  
 Requirements: Requirements:
-  * Studies in Computer Science (Bachelor's, Master's or Diploma) +  * Good programming skills in C/C++ 
-  * Basic skills in Artificial Intelligence +  * Basic physics/rendering engine knowledge 
-  * Optional: basic skills in Probability Theory +  * Basic ROS knowledge 
-  * Optional: basic skills in Machine Learning +  * UE4 basic tutorials
-  * Good programming skills in Python and Java+
  
-Hours: 10-20 h/week+Contact: [[team:andrei_haidu|Andrei Haidu]]
  
-Contact: [[team:daniel_nyga|Daniel Nyga]] 
  
-[1] www.robohow.eu\\ +== Realistic Grasping using Unreal Engine (BA/MA) ==
-[2] http://www.youtube.com/watch?v=0eIryyzlRwA+
  
 +{{  :teaching:gsoc:topic2_unreal.png?nolink&150|}}
  
-== Depth-Adaptive Superpixels (BA/MA)== +The objective of the project is to implement var- 
- {{ :research:dt_dasp.png?200|}} +ious human-like grasping approaches in a game developed using [[https://www.unrealengine.com/|Unreal Engine]]. 
-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 implementation of DASP is not very performant for high resolution images, there are several options for doing a project in this field like reimplementing DASP using CUDA, investigating how thermal data can be integrated, ...+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.
  
-Requirements: +In order to improve the ease of manipulating objects the user should 
-  * Basic knowledge of image processing +be able to switch during runtime the type of grasp (pinch, power 
-  * Good programming skills in C/C++. +grasp, precision grip etc.) he/she would like to use. 
-  * Experience with CUDA is helpful+   
 +Requirements:  
 +  * Good programming skills in C++ 
 +  * Good knowledge of the Unreal Engine API.  
 +  * Experience with skeletal control / animations / 3D models in Unreal Engine.
  
-Contact: [[team:jan-hendrik_worch|Jan-Hendrik Worch]] 
- 
- 
-== Physical Simulation of Humans (BA/MA)== 
- {{ :research:human_model.png?200|}} 
- 
-For tracking people, the use of particle filters is a common approach. However, the quality of those filters heavily depends on the way particles are spread. In this thesis, a library for the physical simulation of a human model is to be implemented. 
- 
-Requirements: 
-  * 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 (BA/MA/HiWi)==+== Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA)==
  {{ :research:gz_env1.png?200|}}   {{ :research:gz_env1.png?200|}} 
  
-Developing new activities and improving the current simulation framework done +Developing new activities and improving the current simulation framework done under the [[http://gazebosim.org/|Gazebo]] robotic simulator. Creating a custom GUI for the game, in order to launch new scenarios, save logs etc.
-under the Gazebo robotic simulator. Creating a custom GUI for the game, in order to launch new scenarios, save logs etc.+
  
 Requirements: Requirements:
   * Good programming skills in C/C++   * Good programming skills in C/C++
   * Basic physics/rendering engine knowledge   * Basic physics/rendering engine knowledge
 +  * Gazebo simulator basic tutorials
  
 Contact: [[team:andrei_haidu|Andrei Haidu]] Contact: [[team:andrei_haidu|Andrei Haidu]]
- Impressum - Datenschutz



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:


Social Media: