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| jobs [2016/03/03 07:57] – [Theses and Jobs] ahaidu | jobs [2022/07/25 10:08] – [Theses and Student Jobs] danielb | ||
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| - | ~~NOTOC~~ | + | |
| - | =====Theses and Jobs===== | + | =====Open researcher positions===== |
| + | |||
| + | We are currently offering multiple open researcher job positions in the context of our project Intel4CoRo. | ||
| + | |||
| + | * [[https:// | ||
| + | * [[https:// | ||
| + | * [[https:// | ||
| + | =====Theses and Student | ||
| If you are looking for a bachelor/ | If you are looking for a bachelor/ | ||
| + | |||
| + | < | ||
| + | == Physics-based grasping in VR with finger tracking(Student Job / HiWi) == | ||
| + | |||
| + | Implementing physics-based grasping models in virtual environments, | ||
| + | using Manus VR. | ||
| + | |||
| + | Requirements: | ||
| + | * 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: | ||
| + | --></ | ||
| + | |||
| + | |||
| + | < | ||
| == Lisp / CRAM support assistant (HiWi) == | == Lisp / CRAM support assistant (HiWi) == | ||
| Technical support for the group for Lisp and the CRAM framework. \\ | Technical support for the group for Lisp and the CRAM framework. \\ | ||
| - | 5 hours per week for up to 1 year (paid). | + | 8+ hours per week for up to 1 year (paid). |
| Requirements: | Requirements: | ||
| Line 15: | Line 42: | ||
| Contact: [[team: | Contact: [[team: | ||
| + | --></ | ||
| + | < | ||
| + | == Mesh Editing / Mesh Segmentation/ | ||
| + | {{ : | ||
| - | == Integrating PR2 in the Unreal Game Engine Framework | + | |
| - | {{ : | + | |
| - | + | ||
| - | Integrating the [[https:// | + | |
| Requirements: | Requirements: | ||
| - | * Good programming skills | + | * Good knowledge |
| - | * Basic physics/rendering engine knowledge | + | * Familiar with Blender |
| - | * Basic ROS knowledge | + | |
| - | * UE4 basic tutorials | + | |
| - | Contact: [[team: | + | Contact: [[team/ |
| + | --></ | ||
| - | == Realistic Grasping using Unreal Engine | + | < |
| + | == 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 the | ||
| + | models against Unreal Engine. | ||
| - | The objective | + | Bonus: Working with state of the art 3D Scanners |
| - | ious human-like grasping approaches in a game developed using [[https:// | + | |
| - | The game consist | + | Requirements: |
| + | * Experience with Blender / Maya (or other) | ||
| + | * Knowledge | ||
| + | * Familiar with version-control systems (git) | ||
| + | * Able to work independently with minimal supervision | ||
| - | In order to improve the ease of manipulating objects the user should | + | Contact: [[team: |
| - | be able to switch during runtime the type of grasp (pinch, power | + | --></html> |
| - | grasp, precision grip etc.) he/she would like to use. | + | |
| - | + | ||
| - | Requirements: | + | |
| - | * Good programming skills in C++ | + | |
| - | * Good knowledge of the Unreal Engine API. | + | |
| - | * Experience with skeletal control / animations | + | |
| + | == Representing knowledge in a robot-agnostic ontology system for assistive robotics (MA Thesis) == | ||
| - | Contact: [[team/ | + | The thesis will be jointly supervised by German Aerospace Center (DLR) in Munich and Institute for Artificial Intelligence (IAI) at the University of Bremen. |
| - | == Kitchen Activity Games in a Realistic Robotic Simulator | + | Tasks: |
| - | {{ : | + | * Investigate about existing ontologies, like the Socio-physical Model of Activities |
| + | * 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 | ||
| - | Developing new activities and improving the current simulation framework done under the [[http:// | + | Contact: |
| - | Requirements: | + | == Linking saref to SOMA (BA Thesis) == |
| - | * Good programming skills in C/C++ | + | |
| - | * Basic physics/ | + | |
| - | * Gazebo simulator basic tutorials | + | |
| - | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | Wissensrepräsentation: Semantische Integration der saref Ontology (https:// |
| + | Aufgaben: | ||
| + | * Arbeit mit Wissensrepräsentation und Wissensgraphen | ||
| + | * Wissensakquisition aus web-Quellen | ||
| + | * Abfrage mit KnowRob (Prolog) für autonome Roboter | ||
| + | Contact: [[team: | ||
| + | == Case Study: Wissen zu Produkt-Aufbewahrungsorten aus dem Internet beziehen (BA Thesis) == | ||
| - | == Automated sensor calibration toolkit | + | 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 |
| - | 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, | + | Aufgaben: |
| + | * Wissensakquise aus dem Internet | ||
| + | * Wissensrepräsentation/ | ||
| + | * Vergleich mit bestehenden Ontologien/ Arbeiten und manuell erstellten Ontologien | ||
| + | * Sinnvolle, automatisierte Abfrage des neu gewonnenen Wissens | ||
| - | 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: | + | |
| - | * 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: | + | == Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) == |
| - | * Good programming skills in Python and C/C++ | + | |
| - | * ROS, OpenCV | + | |
| - | [1] http://www.halcon.de/ | + | 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. | ||
| - | Contact: [[team: | + | 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. | ||
| - | == 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, | + | Requirements: |
| + | * Knowledge about sensor data processing | ||
| + | * Interest in model construction from sensory data | ||
| + | * Work with KnowRob knowledge processing framework | ||
| - | Requirements: | ||
| - | * Good programming skills in C/C++ | ||
| - | * strong background in computer vision | ||
| - | * ROS, OpenCV, PCL | ||
| - | Contact: [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]] | + | Contact: [[team:patrick_mania|Patrick Mania]] |
| - | == Simulation | + | < |
| + | == Development | ||
| + | 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 [[http:// | ||
| - | Create a simulation environment that represents | + | Requirements: |
| + | * Experience in C++. | ||
| + | * Basic understanding of the ROS middleware | ||
| + | The spoken language | ||
| - | Requirements: | + | Contact: [[team: |
| - | * Good programming skills in C/C++ | + | --></html> |
| - | * strong background in computer vision | + | |
| - | * Gazebo, OpenCV, PCL | + | |
| - | Contact: | + | == 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. | ||
| - | == Multi-expert segmentation | + | Therefore, we are currently offering multiple Hiwi positions / student jobs for the following tasks: |
| + | * Modelling | ||
| + | * Creation of specific simulation aspects in Unreal Engine 4. For example the development of interactable objects. | ||
| - | 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: |
| - | + | * Knowledge of 3D-Modelling tools. Blender would be highly preferred. | |
| - | Requirements: | + | * Experience |
| - | * Good programming skills | + | |
| - | * strong background in 3D vision | + | |
| - | * basic knowledge of ROS, OpenCV, PCL | + | |
| - | + | ||
| - | Contact: [[team: | + | |
| + | 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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