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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
- | == Lisp / CRAM support assistant (HiWi) | + | =====Open researcher positions===== |
- | Technical support | + | ====Digital Twin Knowledge Base for submarine robot inspection/ |
- | 5 hours per week for up to 1 year (paid). | + | The Institute |
- | Requirements: | + | As a researcher of the IAI, you actively research by applying and extending the elaborated methods and tools of the IAI (e.g., CRAM, KnowRoB, and openEASE) to the uncertainties of limited resources, computation, |
- | * Good programming skills | + | |
- | * Basic ROS knowledge | + | |
- | The student will be introduced to the CRAM framework at the beginning of the job, which is a robot programming framework written | + | **Prerequisites: |
+ | * Digital Twins | ||
+ | * Knowledge Representation | ||
+ | * Data structures | ||
+ | * Data Stream Representation. | ||
- | Contact: [[team: | + | **Hiring institution:** University of Bremen |
+ | **PhD Enrollment: | ||
- | == Integrating PR2 in the Unreal Game Engine Framework (BA)== | + | The PhD examination acceptance requires a “Certificate of Equivalence for Foreign Vocational Qualifications”. More information available at [[https:// |
- | | + | |
- | Integrating | + | **Duration of the project:** 36 months |
- | Requirements: | + | **Main Academic Supervisor:** Prof. Michael Beetz, contact: beetz@cs.uni-bremen.de |
- | | + | |
- | | + | **Co-supervisors: |
- | * Basic ROS knowledge | + | =====Theses and Student Jobs===== |
- | * UE4 basic tutorials | + | If you are looking for a bachelor/ |
- | Contact: [[team: | ||
- | == 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:// | ||
- | Currently there is an [[http:// | + | == 3D Animation and Modeling (Student Job / HiWi)== |
+ | {{ :research:kitchen_unreal.jpg?200|}} | ||
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | Developing and improving existing or new 3D (static/ |
- | and should be implemented (PCISPH/IISPH). | + | models in Blender |
+ | models against Unreal Engine. | ||
- | 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). | + | Bonus: Working with state of the art 3D Scanners |
- | + | ||
- | Another topic would be the visualization | + | |
- | + | ||
- | Here is a [[https:// | + | |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Experience with Blender |
- | * Interest in Fluid simulation | + | * Knowledge of Unreal Engine material / lightning development |
- | * Basic physics/ | + | * Familiar with version-control systems (git) |
- | * Gazebo simulator and Fluidix basic tutorials | + | * Able to work independently with minimal supervision |
Contact: [[team: | Contact: [[team: | ||
- | == Automated sensor calibration toolkit | + | == App zur Generierung von Ernährungsempfehlungen |
- | 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, | + | Dies ist ein Wissensrepräsentations-Thema. Basierend auf einem bestehenden Wissensgraphen mit Produktinformationen sollen weitere ernährungsspezifische Informationen wie z.B. Substitute für Rezeptzutaten oder Rezepte für spezielle Ernährungsgewohnheiten generiert werden. Diese Informationen müssen aus bestehenden web-Quellen extrahiert und mit dem Wissensgraphen verknüpft werden. Die Informationen sollen dann in einer Smartphone-App (Android) visualisiert werden. Dabei kann auf bestehenden Apps aufgebaut werden. |
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | + | Aufgaben: |
+ | * Arbeit mit Wissensrepräsentation und Wissensgraphen | ||
+ | * Wissensakquisition aus web-Quellen | ||
+ | * App Entwicklung mit der Unity game engine und/oder Flutter | ||
- | | + | Contact: [[team: |
- | The system should: | + | |
- | * be independent of the camera type | + | |
- | * estimate intrinsic and extrinsic parameters | + | |
- | * calibrate depth images (case of RGB-D) | + | |
- | * integrate capabilities from Halcon | + | |
- | * operate autonomously | + | |
- | Requirements: | + | == Sprachauswahl für Shopping Assistenten (BA Thesis) == |
- | * Good programming skills in Python and C/C++ | + | |
- | * ROS, OpenCV | + | |
- | [1] http://www.halcon.de/ | + | Weiterentwicklung eines Produktinformationssystems im Einzelhandel für Smartphones (Android) um eine Sprachauswahl. Anzeige der jeweiligen Informationen in der gewünschten Sprache. |
+ | Dabei wird auf bestehenden Apps aufgebaut. | ||
- | Contact: [[team: | + | Aufgaben: |
+ | * App Entwicklung mit der Unity game engine und Flutter | ||
+ | * Erweiterung der App um eine Sprachauswahl | ||
+ | * Arbeit mit Wissensrepräsentation und Wissensgraphen für Sprachmodellierung | ||
- | == 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, | + | Contact: [[team: |
- | Requirements: | + | == Situational awareness |
- | * Good programming skills | + | |
- | * strong background in computer vision | + | |
- | * ROS, OpenCV, PCL | + | |
- | Contact: [[team: | + | This is a knowledge representation topic including knowledge graphs. The idea is so link external Web-knowledge to an existing knowledge framework in order to include situational awareness so that a robot acting in a household environment can infer what an object is used for in a given situation. |
- | == Simulation of a robots belief state to support perception(MA) == | + | A result would be that a spoon next to a bowl with cereal would be used for eating while a spoon on a stove next to a pot would be used for stirring. |
- | Create | + | requirements: |
+ | * Work with KnowRob knowledge processing framework | ||
+ | * Work with knowledge graphs and Linked Data to create | ||
+ | * Implement reasoning about situations (based on perceived environment) | ||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * strong background in computer vision | ||
- | * Gazebo, OpenCV, PCL | ||
- | Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]] | + | Contact: [[team:michaela_kümpel|Michaela Kümpel]] |
- | == 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, combining | + | == Development of Modules for Robot Perception (Hiwi Job) == |
+ | 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 | ||
+ | * Software development for our Robot Perception framework [[http:// | ||
- | Requirements: | + | Requirements: |
- | * Good programming skills | + | * Experience |
- | * strong background in 3D vision | + | * Basic understanding |
- | * basic knowledge | + | The spoken language in this job is german or english, based on your preference. |
- | Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]] | + | Contact: [[team:patrick_mania|Patrick Mania]] |
+ | |||
+ | == Game Engine Developer and 3D-Modelling | ||
+ | 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 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 of specific simulation aspects in Unreal Engine 4. For example the development of interactable objects. | ||
+ | |||
+ | Requirements: | ||
+ | * Knowledge of 3D-Modelling tools. Blender would be highly preferred. | ||
+ | * Experience in Game Engine development. Ideally Unreal Engine 4 and C++. | ||
+ | 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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