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- | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | |||
+ | We currently don't have any open positions for researchers. | ||
+ | =====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/ |
- | + | --></html> | |
- | == 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: | ||
+ | --></ | ||
+ | == Representing knowledge in a robot-agnostic ontology system for assistive robotics (MA Thesis) == | ||
- | == Automated sensor calibration toolkit | + | The thesis will be jointly supervised by German Aerospace Center |
- | Computer vision is an important part of autonomous robots. For robots | + | Summary: |
+ | * Investigate about existing ontologies, like the Socio-physical Model of Activities (SOMA) from the University | ||
+ | * 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 | ||
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | + | Full offer: |
- | {{ :kinect2_calibration_setup_small.jpg?200|}} | + | {{ :teaching: |
- | 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 [1] | + | |
- | * operate autonomously | + | |
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in Python and C/C++ | + | |
- | * ROS, OpenCV | + | |
- | [1] http:// | + | == Chatbot zur Erfassung von Vorwissen in Informatik (BA Thesis) == |
- | Contact: [[team: | + | In dieser Arbeit soll ein Chatbot in einem jupyter notebook erstellt werden, der das Vorwissen von Nutzer*Innen in verschiedenen Bereichen der Informatik abfragt und bewertet. |
- | == On-the-fly 3D CAD model creation | + | Aufgaben: |
+ | * Arbeit mit jupyter notebook | ||
+ | * Recherche zu existierenden chatbots | ||
+ | * Erstellung eines chatbots | ||
+ | * Durchführung einer (kleinen) Nutzerstudie zur Evaluation des erstellten chatbots | ||
+ | * Bewertung der Nutzerangaben (zur weiteren Verwertung) | ||
- | 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: | + | == Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) == |
- | * Good programming skills in C/C++ | + | |
- | * strong background in computer vision | + | |
- | * ROS, OpenCV, PCL | + | |
- | Contact: [[team: | + | 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. | ||
- | == Simulation | + | The focus of the thesis would be two-fold: |
+ | * Develop methods | ||
+ | * 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. | ||
- | 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, | ||
- | Requirements: | + | Requirements: |
- | * Good programming skills in C/C++ | + | * Knowledge about sensor data processing |
- | * strong background | + | * Interest |
- | * Gazebo, OpenCV, PCL | + | * Work with KnowRob knowledge processing framework |
- | Contact: [[team: | ||
- | == Multi-expert segmentation of cluttered and occluded scenes == | + | Contact: [[team: |
- | 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 (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 | ||
+ | * 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]] |
+ | --></ | ||
- | == Robot control systems in underwater robotics | + | == 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. | ||
- | The use of robots | + | Therefore, we are currently offering multiple Hiwi positions / student jobs for the following tasks: |
+ | * Modelling | ||
+ | * Creation of specific simulation aspects | ||
+ | |||
+ | Requirements: | ||
+ | * Knowledge | ||
+ | * Experience | ||
- | Requirements: | + | The spoken language |
- | * Good programming skills | + | |
- | * basic knowledge of ROS, BLENDER | + | |
- | 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
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