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 [2015/10/15 09:22] – [Theses and Jobs] froggy86 | jobs [2022/08/04 08:34] – [Open researcher positions] lisfre | ||
|---|---|---|---|
| Line 1: | Line 1: | ||
| - | ~~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. | ||
| + | |||
| + | * [[https:// | ||
| + | * [[https:// | ||
| + | =====Theses and Student Jobs===== | ||
| + | If you are looking for a bachelor/ | ||
| - | == Kitchen Activity Games in a Realistic Robotic Simulator | + | < |
| - | {{ : | + | == Physics-based grasping |
| - | Developing new activities and improving the current simulation framework done under the [[http:// | + | Implementing physics-based grasping models |
| + | using Manus VR. | ||
| Requirements: | Requirements: | ||
| - | * Good programming skills in C/C++ | + | * Good C++ programming skills |
| - | * Basic physics/rendering engine knowledge | + | * Familiar with skeletal animations |
| - | * Gazebo simulator basic tutorials | + | * Experience with simulators/physics-/game- engines |
| + | * Familiar with Unreal Engine API | ||
| + | * Familiar with version-control systems (git) | ||
| + | * Able to work independently with minimal supervision | ||
| Contact: [[team: | Contact: [[team: | ||
| + | --></ | ||
| - | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | ||
| - | {{ : | ||
| - | Integrating | + | < |
| + | == Lisp / CRAM support assistant (HiWi) == | ||
| + | |||
| + | Technical support for the group for Lisp and the CRAM framework. | ||
| + | 8+ hours per week for up to 1 year (paid). | ||
| Requirements: | Requirements: | ||
| - | * Good programming skills in C/C++ | + | * Good programming skills in Common Lisp |
| - | * Gazebo simulator basic tutorials | + | * Basic ROS knowledge |
| - | Contact: [[team: | + | 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. |
| - | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | + | Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]] |
| - | | + | --></ |
| - | Improving the skeletal tracking offered by the [[https://developer.leapmotion.com/|Leap Motion SDK]], by using two devices (one tracking vertically the other horizontally) and switching between them to the one that has the best current view of the hand. | + | < |
| + | == Mesh Editing | ||
| + | {{ : | ||
| - | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | |
| Requirements: | Requirements: | ||
| - | * Good programming skills | + | * Good knowledge |
| + | * Familiar with Blender | ||
| - | Contact: [[team: | + | Contact: [[team/ |
| + | --></ | ||
| - | == Fluid Simulation in Gazebo (BA/MA)== | ||
| - | {{ : | ||
| - | [[http://gazebosim.org/|Gazebo]] currently only supports rigid body physics engines (ODE, Bullet etc.), however in some cases fluids are preferred in order to simulate as realistically as possible the given environment. | + | < |
| + | == 3D Animation and Modeling (Student Job / HiWi)== | ||
| + | | ||
| - | Currently there is an [[http:// | + | Developing and improving existing or new 3D (static/skeletal) |
| + | models | ||
| + | models against Unreal Engine. | ||
| - | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | Bonus: Working with state of the art 3D Scanners [[https:// |
| - | and should be implemented (PCISPH/IISPH). | + | |
| - | The interaction between the fluid and the rigid objects is a naive one, the forces and torques are applied only from the particle collisions | + | 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 | ||
| - | Another topic would be the visualization of the fluid, currently is done by rendering every particle. For the rendering engine | + | Contact: |
| + | --></ | ||
| - | Here is a [[https:// | + | == Representing knowledge |
| - | Requirements: | + | The thesis will be jointly supervised by German Aerospace Center (DLR) in Munich |
| - | * Good programming skills | + | |
| - | * Interest in Fluid simulation | + | |
| - | * Basic physics/ | + | |
| - | * Gazebo simulator | + | |
| - | Contact: [[team: | + | Summary: |
| + | * 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 assistive robots provided by the DLR | ||
| + | Full offer: | ||
| - | == Automated sensor calibration toolkit (BA/MA)== | + | {{ : |
| - | 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, | + | Contact: [[team: |
| - | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | + | == Linking saref to SOMA (BA Thesis) == |
| - | | + | Wissensrepräsentation: Semantische Integration der saref Ontology (https:// |
| - | The system should: | + | |
| - | * be independent of the camera type | + | |
| - | * estimate intrinsic and extrinsic parameters | + | |
| - | * calibrate depth images | + | |
| - | * integrate capabilities from Halcon [1] | + | |
| - | * operate autonomously | + | |
| - | Requirements: | + | Aufgaben: |
| - | * Good programming skills in Python and C/C++ | + | * Arbeit mit Wissensrepräsentation und Wissensgraphen |
| - | * ROS, OpenCV | + | * Wissensakquisition aus web-Quellen |
| + | * Abfrage mit KnowRob (Prolog) für autonome Roboter | ||
| - | [1] http:// | + | Contact: |
| - | Contact: [[team: | + | == Case Study: Wissen zu Produkt-Aufbewahrungsorten aus dem Internet beziehen (BA Thesis) == |
| - | == On-the-fly 3D CAD model creation | + | 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 |
| - | 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, completing it's 3D model from multiple views improving redetection. Using the robots manipulator pick up the object and complete the model by viewing it from multiple viewpoints. | + | Aufgaben: |
| + | * Wissensakquise aus dem Internet | ||
| + | * Wissensrepräsentation/ | ||
| + | * Vergleich mit bestehenden Ontologien/ Arbeiten und manuell erstellten Ontologien | ||
| + | * Sinnvolle, automatisierte Abfrage des neu gewonnenen Wissens | ||
| - | Requirements: | ||
| - | * Good programming skills in C/C++ | ||
| - | * strong background in computer vision | ||
| - | * ROS, OpenCV, PCL | ||
| - | Contact: [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]] | + | Contact: [[team:michaela_kümpel|Michaela Kümpel]] |
| - | == Simulation | + | == Integration |
| - | Create | + | In this thesis, the goal is to make a robotic system learn new objects automatically. |
| + | The system should | ||
| - | Requirements: | + | The focus of the thesis would be two-fold: |
| - | * Good programming skills in C/C++ | + | * 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. |
| - | * strong background in computer vision | + | * 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. |
| - | * Gazebo, OpenCV, PCL | + | |
| - | Contact: [[team: | ||
| - | == Multi-expert segmentation of cluttered and occluded scenes == | + | Requirements: |
| + | * Knowledge about sensor data processing | ||
| + | * Interest in model construction from sensory data | ||
| + | * Work with KnowRob knowledge processing framework | ||
| - | 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: | + | Contact: [[team: |
| - | * Good programming skills in C/C++ | + | |
| - | * strong background in 3D vision | + | |
| - | * basic knowledge of ROS, OpenCV, PCL | + | |
| - | Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]] | + | < |
| + | == 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 | ||
| - | == Robot control systems | + | Requirements: |
| + | * Experience | ||
| + | * Basic understanding of the ROS middleware and Linux. | ||
| + | The spoken language in this job is german or english, based on your preference. | ||
| - | The use of robots in underwater missions shows a challenging task. The dynamic terrain | + | Contact: [[team: |
| + | --></ | ||
| + | |||
| + | == Game Engine Developer | ||
| + | A recent development in the field of AI is the usage of photorealistic simulations, | ||
| + | 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 | ||
| + | |||
| + | Therefore, we are currently offering multiple Hiwi positions / student jobs for the following | ||
| + | * Modelling of objects for the use in Unreal Engine 4. | ||
| + | * Creation of specific simulation aspects in Unreal Engine 4. For example | ||
| + | |||
| + | Requirements: | ||
| + | * Knowledge of 3D-Modelling tools. Blender would be highly preferred. | ||
| + | * Experience in Game Engine development. Ideally Unreal Engine 4 and C++. | ||
| - | Requirements: | + | The spoken language |
| - | * Good programming skills | + | |
| - | * basic knowledge of ROS, OpenCV | + | |
| - | Contact: [[team:fereshta_yazdani|Fereshta Yazdani]] | + | 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:
Social Media:
