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- | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | We are currently offering multiple open researcher job positions in the context of our project Intel4CoRo. | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques | + | * [[https:// |
+ | * [[https:// | ||
+ | * [[https:// | ||
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
- | 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: | + | < |
- | * Skills | + | == Physics-based grasping |
- | * Good programming skills in Python and C/C++ | + | |
- | Contact: [[team: | + | Implementing physics-based grasping |
- | + | using Manus VR. | |
- | == 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:// | ||
- | |||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * Gazebo simulator basic tutorials | ||
- | |||
- | Contact: [[team: | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices | + | < |
- | {{ :research:leap_motion.jpg? | + | == 3D Animation and Modeling |
+ | {{ :research:kitchen_unreal.jpg? | ||
- | Improving the skeletal | + | Developing and improving existing or new 3D (static/skeletal) |
+ | models in Blender | ||
+ | models against Unreal Engine. | ||
- | 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 | + | == Representing knowledge |
- | {{ : | + | |
- | [[http:// | + | The thesis will be jointly supervised by German Aerospace Center |
- | Currently there is an [[http:// | + | Tasks: |
+ | * Investigate about existing ontologies, like the Socio-physical Model of Activities (SOMA) from the University of Bremen. | ||
+ | * Refactor an existing knowledge database (known as the Object DataBase, ODB) used by the DLR into an ontology. | ||
+ | * Use the ontology to design tasks in the assistive robotics domain using our assistive robots | ||
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | Contact: [[team: |
- | 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 | + | == Linking saref to SOMA (BA Thesis) == |
- | 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. | + | Wissensrepräsentation: |
- | Here is a [[https:// | + | Aufgaben: |
+ | * Arbeit mit Wissensrepräsentation und Wissensgraphen | ||
+ | * Wissensakquisition aus web-Quellen | ||
+ | * Abfrage mit KnowRob (Prolog) für autonome Roboter | ||
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in C/C++ | + | |
- | * Interest in Fluid simulation | + | |
- | * Basic physics/ | + | |
- | * Gazebo simulator and Fluidix basic tutorials | + | |
- | Contact: [[team: | + | == Case Study: Wissen zu Produkt-Aufbewahrungsorten aus dem Internet beziehen (BA Thesis) == |
+ | In dieser Thesis soll untersucht werden, ob die Autonomie von Robotern durch Integration von Wissen zu Aufbewahrungsorten von Produkten aus dem Internet erhöht werden kann. Es gibt verschiedene websites, die Wissen dazu bereitstellen. Dieses Wissen soll von den websites abgefragt und anschließend sinnvoll ontologisiert werden. Anhand verschiedener Fragen werden die Ergebnisse evaluiert (Menge der erworbenen Informationen/ | ||
- | == Automated sensor calibration toolkit (MA)== | + | Aufgaben: |
+ | * Wissensakquise aus dem Internet | ||
+ | * Wissensrepräsentation/ | ||
+ | * Vergleich mit bestehenden Ontologien/ Arbeiten und manuell erstellten Ontologien | ||
+ | * Sinnvolle, automatisierte Abfrage des neu gewonnenen Wissens | ||
- | 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 thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | + | Contact: [[team: |
- | The system should: | + | == Integration |
- | * be independent | + | |
- | * estimate intrinsic and extrinsic parameters | + | |
- | * calibrate depth images | + | |
- | * integrate capabilities from Halcon [1] | + | |
- | * operate autonomously | + | |
- | Requirements: | + | In this thesis, the goal is to make a robotic system learn new objects automatically. |
- | * Good programming skills in Python | + | 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. |
- | * ROS, OpenCV | + | |
- | [1] http://www.halcon.de/ | + | The focus of the thesis would be two-fold: |
+ | * 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. | ||
- | Contact: [[team: | ||
- | == On-the-fly 3D CAD model creation (MA)== | + | Requirements: |
+ | * Knowledge about sensor data processing | ||
+ | * Interest in model construction from sensory data | ||
+ | * Work with KnowRob knowledge processing framework | ||
- | 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:thiemo_wiedemeyer|Thiemo Wiedemeyer]] | + | < |
+ | == Development of Modules for Robot Perception (Student Job / HiWi) == | ||
+ | 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 | ||
- | == Simulation | + | Requirements: |
+ | * Experience in C++. | ||
+ | * Basic understanding | ||
+ | The spoken language in this job is german or english, based on your preference. | ||
- | 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, | + | Contact: [[team: |
+ | --></ | ||
- | Requirements: | + | == Game Engine Developer and 3D-Modelling |
- | * Good programming skills in C/C++ | + | A recent development |
- | * strong background | + | 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. |
- | * Gazebo, OpenCV, PCL | + | |
- | Contact: [[team: | + | 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 of specific simulation aspects in Unreal Engine 4. For example the development of interactable objects. | ||
- | == Multi-expert segmentation of cluttered and occluded scenes == | + | Requirements: |
- | + | * Knowledge of 3D-Modelling tools. Blender would be highly preferred. | |
- | 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 | + | * Experience |
- | 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
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