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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | ====Digital Twin Knowledge Base for submarine robot inspection/ | ||
+ | The Institute for Artificial Intelligence (IAI) investigates methods for cognition-enabled robot control. The research is at the intersection of robotics and Artificial Intelligence and includes methods for intelligent perception, dexterous object manipulation, | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator | + | 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, |
- | {{ :research:gz_env1.png? | + | |
- | Developing new activities and improving the current simulation framework done under the [[http:// | + | **Prerequisites:** You have a strong background in some of the following fields: |
+ | * Digital Twins | ||
+ | * Knowledge Representation | ||
+ | * Data structures | ||
+ | * Data Stream Representation. | ||
- | Requirements: | + | **Hiring institution: |
- | | + | |
- | | + | |
- | | + | |
- | Contact: [[team: | + | **PhD Enrollment:** PhD position in the Institute for Artificial Intelligence at University of Bremen. The project involves collaboration with ROSEN in Bremen and UiO in Oslo. |
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | + | 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 |
- | | + | |
- | | + | |
- | Contact: [[team: | + | **Co-supervisors:** prof. Einar Broch Johnsen (UiO, Norway), dr. Peter Kampmann (ROSEN, Germany) |
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | ||
- | {{ : | ||
- | Improving the skeletal | + | == Physics-based grasping in VR with finger |
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | Implementing physics-based grasping models in virtual environments, |
+ | using Manus VR. | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * 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 | ||
Contact: [[team: | Contact: [[team: | ||
- | == Fluid Simulation in Gazebo (BA/MA)== | ||
- | {{ : | ||
- | [[http:// | ||
- | Currently there is an [[http:// | + | < |
+ | == Lisp / CRAM support assistant (HiWi) | ||
- | The computational method | + | Technical support |
- | and should be implemented | + | 8+ hours per week for up to 1 year (paid). |
- | The interaction between | + | Requirements: |
+ | * Good programming skills in Common Lisp | ||
+ | * 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 in Lisp. The student will then be responsible for assisting not familiar with the framework people, explaining them the parts they don't understand | ||
+ | |||
+ | Contact: [[team: | ||
+ | --></ | ||
- | 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. | + | < |
+ | == Mesh Editing | ||
+ | {{ : | ||
- | Here is a [[https:// | + | |
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good knowledge |
- | * Interest in Fluid simulation | + | * Familiar with Blender |
- | * Basic physics/rendering engine knowledge | + | |
- | * Gazebo simulator and Fluidix basic tutorials | + | |
- | Contact: [[team: | + | Contact: [[team/ |
+ | --></ | ||
- | == Automated sensor calibration toolkit (BA/MA)== | ||
- | Computer vision is an important part of autonomous robots. For robots | + | == 3D Animation and Modeling (Student Job / HiWi)== |
+ | {{ : | ||
+ | |||
+ | Developing and improving existing or new 3D (static/ | ||
+ | models in Blender / Maya (or other). Further importing and testing | ||
+ | models against Unreal Engine. | ||
+ | |||
+ | Bonus: Working with state of the art 3D Scanners [[https:// | ||
+ | |||
+ | Requirements: | ||
+ | * Experience with Blender / Maya (or other) | ||
+ | * Knowledge | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | |||
+ | Contact: [[team: | ||
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | ||
- | {{ : | + | == App zur Generierung von Ernährungsempfehlungen |
- | 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: | + | 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. |
- | * Good programming skills | + | |
- | * ROS, OpenCV | + | |
- | [1] http:// | + | Aufgaben: |
+ | * Arbeit mit Wissensrepräsentation und Wissensgraphen | ||
+ | * Wissensakquisition aus web-Quellen | ||
+ | * App Entwicklung mit der Unity game engine und/oder Flutter | ||
- | Contact: [[team:alexis_maldonado|Alexis Maldonado]] and [[team: | + | Contact: [[team:michaela_kümpel|Michaela Kümpel]] |
- | == On-the-fly 3D CAD model creation | + | == Sprachauswahl für Shopping Assistenten |
- | 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, | + | 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. | ||
- | Requirements: | + | Aufgaben: |
- | * Good programming skills in C/C++ | + | * App Entwicklung mit der Unity game engine und Flutter |
- | * strong background in computer vision | + | * Erweiterung der App um eine Sprachauswahl |
- | * ROS, OpenCV, PCL | + | * Arbeit mit Wissensrepräsentation und Wissensgraphen für Sprachmodellierung |
- | Contact: [[team: | ||
- | == Simulation of a robots belief state to support perception(MA) == | + | Contact: [[team: |
- | 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, | + | == Situational awareness |
- | Requirements: | + | This is a knowledge representation topic including knowledge graphs. The idea is so link external Web-knowledge to an existing knowledge framework |
- | * Good programming skills | + | |
- | * strong background | + | |
- | * Gazebo, OpenCV, PCL | + | |
- | Contact: [[team: | + | 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. |
- | == Multi-expert segmentation of cluttered | + | requirements: |
+ | * Work with KnowRob knowledge processing framework | ||
+ | * Work with knowledge graphs | ||
+ | * Implement reasoning about situations (based on perceived environment) and object use | ||
- | 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: | ||
- | == Robot control systems in underwater robotics | + | == Development of Modules for Robot Perception and Game Engine Technology (Hiwi Job) == |
+ | 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. 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: | ||
+ | * 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. | ||
+ | * Software development to create Interfaces between ROS and Unreal Engine 4 (mainly C++) | ||
+ | * Software development for our Robot Perception framework [[http:// | ||
- | The use of robots in underwater missions shows a challenging task. The dynamic terrain and its different conditions makes it difficult for robots to perform tasks correctly. In order to accomplish tasks in a proper way, the robot control routines have to be coordinated. The topic of this thesis is to develop robot control systems for underwater robotics in an underwater mission in order to navigate and to execute tasks correctly in the terrain. | ||
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in C/C++ or JAVA | + | |
- | * basic knowledge of ROS, BLENDER | + | |
- | 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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