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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | + | |
+ | =====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, | ||
+ | |||
+ | 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, | ||
+ | |||
+ | **Prerequisites: | ||
+ | * Digital Twins | ||
+ | * Knowledge Representation | ||
+ | * Data structures | ||
+ | * Data Stream Representation. | ||
+ | |||
+ | **Hiring institution: | ||
+ | |||
+ | **PhD Enrollment: | ||
+ | |||
+ | The PhD examination acceptance requires a “Certificate of Equivalence for Foreign Vocational Qualifications”. More information available at [[https:// | ||
+ | |||
+ | **Duration of the project:** 36 months | ||
+ | |||
+ | **Main Academic Supervisor: | ||
+ | |||
+ | **Co-supervisors: | ||
+ | =====Theses and Student | ||
If you are looking for a bachelor/ | If you are looking for a bachelor/ | ||
- | == Web-based knowledge visualizations (BA/HiWi) == | ||
- | {{ : | ||
- | The knowledge base visualization allows to display semantic environment maps, | + | |
- | objects, human poses, trajectories | + | < |
- | robot' | + | == Knowledge-enabled PID Controller for 3D Hand Movements in Virtual Environments (BA/MA Thesis) == |
- | is written in Java and has grown old over the years. Recently, there has been | + | |
- | much progress in creating [[http:// | + | Implementing a force-, velocity- |
- | 3D visualizations]] for ROS that can also be accessed with a | + | of the human user will be mapped to the virtual hands, |
- | [[http:// | + | The controller should |
- | a web-based version | + | |
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good C++ programming skills |
- | * Experience with JavaScript development | + | * Familiar with PID controllers and control theory |
- | * Knowledge of Web technologies | + | * Experience with simulators/ |
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems | ||
+ | * Able to work independently with minimal supervision | ||
- | Contact: [[team:moritz_tenorth|Moritz Tenorth]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
+ | --></ | ||
+ | == Natural Physics-based Grasping in Virtual Environments (BA/MA Thesis) == | ||
- | == Tools for knowledge acquisition | + | Implementing physics-based grasping models in virtual environments, |
+ | from various devices such as Manus VR or Valve Index. | ||
- | There are several options for doing a project related | + | Requirements: |
- | knowledge from Web sources like online shops, repositories of object models, | + | * Good C++ programming skills |
- | recipe databases, etc. | + | * 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) == | ||
+ | |||
+ | Technical support for the group for Lisp and the CRAM framework. \\ | ||
+ | 8+ hours per week for up to 1 year (paid). | ||
Requirements: | Requirements: | ||
- | * Programing | + | * Good programming |
- | * Experience with Web languages and datamining techniques is helpful | + | * Basic ROS knowledge |
- | * Depending on the focus of the project, experience with database technology, natural-language processing or computer vision may be helpful | + | |
- | 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. |
+ | Contact: [[team: | ||
+ | --></ | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques (BA/MA/HiWi)== | + | < |
+ | == Mesh Editing | ||
+ | {{ : | ||
- | In the field of Machine Learning, numerical optimization techniques play a focal role. However, as models grow larger, traditional implementations on single-core CPUs suffer from sequential execution causing a severe slow-down. In this thesis, state-of-the-art GPU frameworks | + | |
Requirements: | Requirements: | ||
- | * Skills | + | * Good knowledge |
- | * Good programming skills in Python and C/C++ | + | * Familiar with Blender |
- | Contact: [[team: | + | Contact: [[team/ |
+ | --></ | ||
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding (MA)== | ||
- | Markov Logic Networks | + | == 3D animation and model developer |
+ | {{ : | ||
+ | |||
+ | Developing | ||
+ | models | ||
+ | models against Unreal Engine. | ||
+ | |||
+ | Bonus: Working with state of the art 3D Scanners [[https:// | ||
Requirements: | Requirements: | ||
- | * Experience | + | * Experience |
- | * Experience | + | * Knowledge of Unreal Engine material / lightning development |
- | * Good programming skills in Python. | + | * Familiar |
+ | * Able to work independently with minimal supervision | ||
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | ==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots== | + | < |
+ | == Integrating PR2 in the Unreal Game Engine Framework (BA/MA/HiWi)== | ||
+ | {{ : | ||
- | In the context of the European research project RoboHow.Cog | + | Integrating |
- | are investigating methods for combining multimodal sources of knowledge (e.g. video, natural-language recipes or computer games), | + | |
- | The Institute for Artificial Intelligence is hiring a student researcher for the | + | Requirements: |
- | development and the integration of probabilistic methods | + | * Good programming skills |
+ | * Basic physics/ | ||
+ | * Basic ROS knowledge | ||
+ | * UE4 basic tutorials | ||
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | Contact: [[team: |
- | Tasks: | ||
- | * Implementation of an interface to the Robot Operating System (ROS). | ||
- | * Linkage of the knowledge base to the executive of the robot. | ||
- | * Support for the scientific staff in extending and integrating components onto the robot platform PR2. | ||
- | Requirements: | + | == Realistic Grasping using Unreal Engine |
- | * Studies in Computer Science | + | |
- | * Basic skills in Artificial Intelligence | + | |
- | * Optional: basic skills in Probability Theory | + | |
- | * Optional: basic skills in Machine Learning | + | |
- | * Good programming skills in Python and Java | + | |
- | Hours: 10-20 h/week | + | {{ |
- | Contact: | + | The objective of the project is to implement var- |
+ | ious human-like grasping approaches in a game developed using [[https:// | ||
- | [1] www.robohow.eu\\ | + | The game consist of a household environment where a user has to execute various given tasks, such as cooking a dish, setting the table, cleaning the dishes etc. The interaction is done using various sensors to map the users hands onto the virtual hands in the game. |
- | [2] http:// | + | |
- | == HiWi position: Segmentation and interpretation | + | In order to improve the ease of manipulating objects the user should |
+ | be able to switch during runtime the type of grasp (pinch, power | ||
+ | grasp, precision grip etc.) he/she would like to use. | ||
+ | |||
+ | Requirements: | ||
+ | * Good programming skills in C++ | ||
+ | * Good knowledge | ||
+ | * Experience with skeletal control / animations / 3D models | ||
+ | * Familiar with version-control systems | ||
+ | * Able to work independently with minimal supervision | ||
- | {{ : | ||
- | Competent object interaction requires knowledge about the structure and | + | Contact: |
- | composition of objects. In an ongoing research project, we are investigating | + | --></ |
- | how part-based object models can automatically be extracted from CAD models | + | |
- | found on the Web, e.g. on the [[http:// | + | |
- | We are looking for a student | + | < |
- | In close collaboration with the researchers of the Institute for Artificial | + | == Unreal Engine Editor Developer (Student Job / HiWi)== |
- | Intelligence, | + | {{ :research: |
- | segmentation, | + | |
- | methods into the robot' | + | Creating new user interfaces (panel customization) |
- | the segmentation results. Depending on the results, cooperation on joint | + | |
- | publications may be possible. | + | |
- | This HiWi position can serve as a starting point for future Bachelor' | ||
- | Master' | ||
- | project that could be worked on as a Master' | ||
Requirements: | Requirements: | ||
- | * Good Java programming skills | + | * Good C++ programming skills |
- | * Basic knowledge of 3D geometry calculations | + | * Familiar with the [[https:// |
- | * Experience | + | * Familiar |
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently | ||
- | Contact: [[team:moritz_tenorth|Moritz Tenorth]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | == Depth-Adaptive Superpixels (BA/HiWi)== | ||
- | We are currently investigating a new set of sensors (RGB-D-T), which is a combination of a kinect with a thermal image camera. Within this project we want to enhance the Depth-Adaptive Superpixels (DASP) to make use of the thermal sensor data. Depth-Adaptive Superpixels oversegment an image taking into account the depth value of each pixel. {{ : | ||
- | Since the current implementation | + | == OpenEASE rendering in Unreal Engine (BA/MA Thesis, Student Job / HiWi)== |
+ | |||
+ | |||
+ | Implmenting | ||
Requirements: | Requirements: | ||
- | * Basic knowledge | + | * Good C++ programming skills |
- | * Good programming skills in C/C++. | + | * Familiar with Unreal Engine API |
- | * Experience with CUDA is helpful | + | * Familiar with HTML5 and JavaScript |
+ | * Familiar with the [[https:// | ||
+ | * Familiar with basic ROS communication | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | < | ||
+ | == Knowledge-enabled PID Controller for 3D Hand Movements in Virtual Environments (BA/MA Thesis) == | ||
+ | |||
+ | Implementing a force-, velocity- and impulse-based PID controller for precise and responsive hand movements in a virtual environment. The virtual environment used in Unreal Engine in combination with Virtual Reality devices. The movements | ||
+ | of the human user will be mapped to the virtual hands, and controlled via the implemented PID controllers. | ||
+ | The controller should be able to dynamically tune itself depending on the executed actions (opening/ | ||
+ | |||
+ | Requirements: | ||
+ | * Good C++ programming skills | ||
+ | * Familiar with PID controllers and control theory | ||
+ | * Experience with simulators/ | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | |||
+ | Contact: [[team: | ||
+ | --></ | ||
+ | |||
+ | == Mülltrennungs-App mit Wissensgraph-Anbindung (BA Thesis) == | ||
+ | |||
+ | Entwicklung einer Mülltrennungs-App für Smartphones (Android) basierend auf Objekterkennung und Anbindung an Wissensgraphen. | ||
+ | Dabei wird auf bestehende Objekterkennungs-Apps aufgebaut und eine Smartphone App entwickelt, die Objekte erkennt und auf einen Wissensgraphen zugreift, um weitere Informationen zu diesen Produkten zu erhalten. | ||
+ | Eine Aufgabe der Arbeit ist es, den bestehenden Wissengraphen um Wissen über Produktverpackungen und deren Entsorgungsmöglichkeiten zu erweitern. | ||
+ | |||
+ | Aufgaben: | ||
+ | * App Entwicklung mit der Unity game engine | ||
+ | * Objekterkennung mittels Vuforia | ||
+ | * Arbeit mit Wissensrepräsentation und Wissensgraphen | ||
+ | * Erweiterung von .owl Dateien im Wissensgraphen | ||
+ | |||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | == Situational awareness in kitchen environments (MA Thesis) == | ||
+ | |||
+ | 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. | ||
+ | |||
+ | 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. | ||
+ | |||
+ | requirements: | ||
+ | * Work with KnowRob knowledge processing framework | ||
+ | * Work with knowledge graphs and Linked Data to create a situational awareness knowledge graph that can be linked to KnowRob | ||
+ | * Implement reasoning about situations (based on perceived environment) and object use | ||
+ | |||
+ | |||
+ | Contact: [[team: | ||
- | 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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