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- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | {{blog>: | ||
- | == 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 (e.g. CUDA) are to be investigated in order implement numerical optimizers that substantially profit from parallel execution. | + | < |
+ | <div style=" | ||
+ | </ | ||
- | Requirements: | ||
- | * Skills in numerical optimization algorithms | ||
- | * Good programming skills in Python and C/C++ | ||
- | Contact: [[team: | ||
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding (MA)== | + | =====Theses and Student Jobs===== |
+ | If you are looking for a bachelor' | ||
- | 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, | ||
- | Requirements: | + | < |
- | * Experience | + | == Physics-based grasping |
- | * Experience | + | |
- | * Good programming skills in Python. | + | |
- | Contact: [[team: | + | Implementing physics-based grasping models in virtual environments, |
+ | using Manus VR. | ||
+ | Requirements: | ||
+ | * Good C++ programming skills | ||
+ | * Familiar with skeletal animations | ||
+ | * Experience with simulators/ | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | ==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots== | + | Contact: [[team: |
- | + | --></ | |
- | In the context of the European research project RoboHow.Cog | + | |
- | 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' | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | Tasks: | + | Technical support for the group for Lisp and the CRAM framework. \\ |
- | * Implementation of an interface to the Robot Operating System (ROS). | + | 8+ hours per week for up to 1 year (paid). |
- | * Linkage of the knowledge base to the executive of the robot. | + | |
- | * Support | + | |
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 | + | Requirements: |
- | {{ : | + | * Good knowledge |
+ | * Familiar with Blender / Maya (or other) | ||
- | Developing new activities and improving the current simulation framework done under the [[http:// | + | Contact: |
+ | --></ | ||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * Basic physics/ | ||
- | * Gazebo simulator basic tutorials | ||
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | < |
+ | == 3D Animation and Modeling (Student Job / HiWi)== | ||
+ | | ||
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | + | Developing and improving existing or new 3D (static/skeletal) |
- | {{ : | + | models in Blender / Maya (or other). Further importing and testing the |
+ | models against Unreal Engine. | ||
- | 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. | + | Bonus: Working with state of the art 3D Scanners |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Experience with Blender |
- | * Gazebo simulator basic tutorials | + | * Knowledge of Unreal Engine material / lightning development |
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
+ | --></ | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices | + | == Scene Format Conversion Tool for Robotics Simulation |
- | {{ : | + | |
- | Improving the skeletal tracking offered by the [[https:// | + | **Motivation:** |
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | With robotics playing a significant role in various domains, simulation is essential |
- | Requirements: | + | {{:multiformat.png? |
- | * Good programming skills in C/C++ | + | |
- | Contact: [[team: | + | **Task Description:** |
- | == Fluid Simulation in Gazebo (BA/MA)== | + | The objective of this project is to develop a universal parser capable of converting scene descriptions between common formats. The following key steps are involved: |
- | | + | |
- | [[http:// | + | - Create a model to represent and store the scene graph. |
+ | - Implement import functions for the model to handle scene descriptions | ||
+ | - Implement export functions for the model to generate scene descriptions in any of the supported formats. | ||
- | Currently there is an [[http:// | + | **Requirements:** |
- | The computational method | + | * A strong passion |
- | and should be implemented (PCISPH/ | + | * Dedication to the chosen topic. |
+ | * Eager to learn. | ||
- | 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 | + | == Generating Comics about Everyday Experiences |
- | Here is a [[https:// | + | Summary: |
+ | * Query experience data from an existing database | ||
+ | * Retrieve situations | ||
+ | * Recreate | ||
+ | * Apply a comic shader | ||
+ | * Find good camera position for moments | ||
+ | * Generate a PDF summarizing | ||
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in C/C++ | + | |
- | * Interest in Fluid simulation | + | |
- | * Basic physics/ | + | |
- | * Gazebo simulator and Fluidix basic tutorials | + | |
- | Contact: [[team: | + | == Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) == |
+ | In this thesis, the goal is to make a robotic system learn new objects automatically. | ||
+ | The system should be able to generate the necessary models required for re-detecting it again and also consult online information sources to automatically acquire knowledge about it. | ||
- | == Automated sensor calibration toolkit (MA)== | + | The focus of the thesis would be twofold: |
+ | * 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. | ||
- | 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. | + | Requirements: |
+ | * Knowledge about sensor data processing | ||
+ | * Interest in model construction from sensory data | ||
+ | * Work with KnowRob knowledge processing framework | ||
- | 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: | + | Contact: [[team: |
- | * Good programming skills in Python and C/C++ | + | |
- | * ROS, OpenCV | + | |
- | [1] http:// | + | == Übersetzung einer globalen Produktklassifikation in eine bestehende Ontologie (BA Thesis) == |
- | Contact: [[team: | + | In dieser Arbeit soll die GS1 Produktklassifikation in eine Ontologie transformiert werden. Der GS1 Produktklassifikationsstandard ist online ( https:// |
- | == On-the-fly 3D CAD model creation | + | Die Aufgaben dazu sind: |
+ | * Einarbeitung in Web Scraping und Abfrage der Daten von GS1 | ||
+ | * Einarbeitung in Owlready und Erstellen der Taxonomie | ||
+ | * Erstellung des Jupyter Notebooks mit einem Beispiel, wie andere Ontologien verbunden werden können | ||
- | 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: | + | Contact: [[team: |
- | * Good programming skills in C/C++ | + | |
- | * strong background in computer vision | + | |
- | * ROS, OpenCV, PCL | + | |
- | Contact: [[team: | ||
- | == Simulation | + | < |
+ | == Development | ||
+ | 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:// | ||
- | Create a simulation environment that represents | + | Requirements: |
+ | * Experience in C++. | ||
+ | * Basic understanding of the ROS middleware | ||
+ | The spoken language | ||
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in C/C++ | + | --></html> |
- | * strong background in computer vision | + | |
- | * Gazebo, OpenCV, PCL | + | |
- | Contact: | + | == Development of Modules for Robot Perception (Student Job / HiWi) == |
+ | In our research group, we focus on the development of intelligent robots that are combining modern computer vision methods with knowledge representation. | ||
+ | We are currently offering multiple Hiwi positions / student jobs for software development in the context of our Robot Perception framework | ||
- | == Multi-expert segmentation | + | Requirements: |
+ | * Solid experience in python and object-oriented programming | ||
+ | * Basic understanding | ||
+ | * Basic understanding of computer vision methods | ||
- | Objects | + | The spoken language |
- | Requirements: | + | Contact: [[team:patrick_mania|Patrick Mania]] |
- | | + | -- |
- | * strong background | + | |
- | * basic knowledge | + | == Game Engine Developer and 3D-Modelling |
+ | A recent development | ||
+ | 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. | ||
+ | |||
+ | Therefore, we are currently offering multiple Hiwi positions / student jobs for the following tasks: | ||
+ | * Modelling of objects for the use in Unreal Engine 4. | ||
+ | * Creation | ||
+ | |||
+ | Requirements: | ||
+ | * Knowledge of 3D-Modelling tools. Blender would be highly preferred. | ||
+ | * Experience in Game Engine development. Ideally Unreal Engine 4 and C++. | ||
- | Contact: [[team: | + | The spoken language in this job is german or english, based on your preference. |
+ | 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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