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 [2015/03/19 13:27] – [Theses and Jobs] raider | jobs [2023/03/14 10:00] – [Theses and Student Jobs] danielb | ||
---|---|---|---|
Line 1: | Line 1: | ||
- | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | We currently don't have any open positions for researchers. | ||
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques (BA/ | ||
- | 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 | + | < |
+ | == Physics-based grasping in VR with finger tracking(Student Job / HiWi) == | ||
- | Requirements: | + | Implementing physics-based grasping |
- | * Skills in numerical optimization algorithms | + | using Manus VR. |
- | * Good programming skills in Python and C/C++ | + | |
- | + | ||
- | Contact: [[team: | + | |
- | + | ||
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding (MA)== | + | |
- | + | ||
- | Markov Logic Networks (MLNs) combine the expressive power of first-order logic and probabilistic graphical | + | |
Requirements: | Requirements: | ||
- | * Experience in Machine Learning. | + | * Good C++ programming skills |
- | * Experience with statistical relational learning | + | * Familiar with skeletal animations |
- | * Good programming skills in Python. | + | * Experience with simulators/ |
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems | ||
+ | * Able to work independently with minimal supervision | ||
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
+ | --></ | ||
- | ==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots== | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | In the context of the European research project RoboHow.Cog [1,2] we | + | Technical support for the group for Lisp and the CRAM framework. \\ |
- | are investigating methods | + | 8+ hours per week for up to 1 year (paid). |
- | + | ||
- | The Institute for Artificial Intelligence is hiring a student researcher for the | + | |
- | development | + | |
- | + | ||
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | |
- | + | ||
- | Tasks: | + | |
- | * Implementation of an interface | + | |
- | * 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 | + | * Good programming skills |
- | * Basic skills in Artificial Intelligence | + | * Basic ROS knowledge |
- | * Optional: basic skills in Probability Theory | + | |
- | * Optional: basic skills in Machine Learning | + | |
- | * Good programming skills in Python and Java | + | |
- | Hours: 10-20 h/week | + | 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. |
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]] |
+ | --></ | ||
- | [1] www.robohow.eu\\ | + | < |
- | [2] http://www.youtube.com/watch?v=0eIryyzlRwA | + | == Mesh Editing |
+ | {{ : | ||
- | + | | |
- | == Kitchen Activity Games in a Realistic Robotic Simulator | + | |
- | {{ : | + | |
- | + | ||
- | Developing new activities and improving the current simulation framework done under the [[http:// | + | |
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good knowledge |
- | * Basic physics/rendering engine knowledge | + | * Familiar with Blender |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: [[team: | + | Contact: [[team/ |
+ | --></ | ||
- | == Integrating Eye Tracking in the Kitchen Activity Games (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. | + | < |
+ | == 3D Animation and Modeling (Student Job / HiWi)== | ||
+ | | ||
- | Requirements: | + | Developing and improving existing or new 3D (static/skeletal) |
- | * Good programming skills in C/C++ | + | models in Blender |
- | * Gazebo simulator basic tutorials | + | models against Unreal Engine. |
- | + | ||
- | Contact: [[team: | + | |
- | + | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices | + | |
- | {{ : | + | |
- | + | ||
- | Improving the skeletal tracking offered by the [[https:// | + | |
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | Bonus: Working with state of the art 3D Scanners [[https:// |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Experience with Blender |
+ | * Knowledge of Unreal Engine material / lightning development | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
+ | --></ | ||
- | == Fluid Simulation in Gazebo | + | == Generating Comics about the Everyday Experiences of a Robot (BA Thesis) == |
- | {{ : | + | |
- | [[http:// | + | Summary: |
+ | * Query experience data from an existing database | ||
+ | * Retrieve situations of interest | ||
+ | * Recreate the scene in a 3D environment | ||
+ | * Apply a comic shader | ||
+ | * Find good camera position for moments of interest | ||
+ | * Generate a PDF summarizing the experiences | ||
- | Currently there is an [[http:// | + | Contact: [[team:daniel_bessler|Daniel Beßler]] |
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | == Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) == |
- | and should be implemented (PCISPH/ | + | |
- | The interaction between | + | In this thesis, |
+ | The system should be able to generate | ||
- | Another topic would be the visualization | + | The focus of the thesis |
+ | * Develop methods to automatically infer the object class of new objects. This would include perceiving it with state of the art sensors, constructing a 3d model of it and then infer the object class from online information sources. | ||
+ | * In the second step the system should also infer factual knowledge about the object from the internet and assert it into a robotic knowledgebase. Such knowledge could for example include the category of this product, typical object properties like its weight or typical location and much more. | ||
- | Here is a [[https:// | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Knowledge about sensor data processing |
- | * Interest in Fluid simulation | + | * Interest in model construction from sensory data |
- | * Basic physics/ | + | * Work with KnowRob |
- | * Gazebo simulator and Fluidix basic tutorials | + | |
- | Contact: [[team: | ||
+ | Contact: [[team: | ||
- | == Automated sensor calibration toolkit | + | < |
+ | == Development of Modules for Robot Perception | ||
+ | In our research group, we focus on the development of modern robots that can make use of the potential of game engines. One particular research direction, is the combination of computer vision with game engines. | ||
+ | In this context, we are currently offering multiple Hiwi positions / student jobs for the following tasks: | ||
+ | * Software development to create Interfaces between ROS and Unreal Engine 4 (mainly C++) | ||
+ | * Software development for our Robot Perception framework [[http:// | ||
- | Computer vision is an important part of autonomous robots. For robots the image sensors are the main source of information | + | Requirements: |
+ | * Experience in C++. | ||
+ | * Basic understanding | ||
+ | The spoken language | ||
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | + | Contact: [[team: |
+ | --></ | ||
- | {{ : | + | == Game Engine Developer |
- | The system should: | + | A recent development in the field of AI is the usage of photorealistic simulations, |
- | * be independent of the camera type | + | In our research group, we focus on the development of modern robots that can make use of the potential of game engines. This requires a high degree of specialized game engine plugins that can simulate certain aspects of our research. Another important task is the creation of 3d models. |
- | * estimate intrinsic | + | |
- | * calibrate depth images | + | |
- | | + | |
- | * operate autonomously | + | |
- | Requirements: | + | Therefore, we are currently offering multiple Hiwi positions / student jobs for the following tasks: |
- | * Good programming skills | + | * Modelling of objects for the use in Unreal Engine 4. |
- | * ROS, OpenCV | + | * Creation of specific simulation aspects in Unreal Engine 4. For example the development of interactable objects. |
- | [1] http:// | + | Requirements: |
- | + | * Knowledge | |
- | Contact: [[team: | + | * Experience |
- | + | ||
- | == On-the-fly 3D CAD model creation (MA)== | + | |
- | + | ||
- | 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: | + | |
- | * Good programming skills in C/C++ | + | |
- | * strong background in computer vision | + | |
- | * ROS, OpenCV, PCL | + | |
- | + | ||
- | Contact: [[team: | + | |
- | + | ||
- | == Simulation | + | |
- | + | ||
- | 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 | + | |
- | * 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: | + | The spoken language |
- | * Good programming skills | + | |
- | * strong background in 3D vision | + | |
- | * basic knowledge of ROS, OpenCV, PCL | + | |
- | Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]] | + | Contact: [[team:patrick_mania|Patrick Mania]] |
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: