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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/ | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques (BA/ | ||
- | 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 | + | < |
+ | == Knowledge-enabled PID Controller for 3D Hand Movements in Virtual Environments (BA/MA Thesis) == | ||
+ | |||
+ | Implementing | ||
+ | of the human user will be mapped | ||
+ | The controller should | ||
Requirements: | Requirements: | ||
- | | + | * Good C++ programming skills |
- | | + | * Familiar with PID controllers |
+ | * Experience with simulators/physics-/ | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
+ | --></ | ||
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding | + | == Natural |
- | Markov Logic Networks (MLNs) combine the expressive power of first-order logic and probabilistic graphical | + | Implementing physics-based grasping |
+ | from various devices such as Manus VR or Valve Index. | ||
Requirements: | Requirements: | ||
- | * Experience in Machine Learning. | + | * Good C++ programming skills |
- | * Experience with statistical relational learning | + | * Familiar with skeletal animations |
- | * Good programming skills in Python. | + | * Experience with simulators/ |
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems | ||
+ | * Able to work independently with minimal supervision | ||
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
+ | < | ||
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | ==HiWi-Position: | + | Technical support |
+ | 8+ hours per week for up to 1 year (paid). | ||
- | In the context | + | Requirements: |
- | are investigating methods for combining multimodal sources of knowledge (e.g. video, natural-language recipes or computer games), in order to enable mobile robots to autonomously acquire new high level skills like cooking meals or straightening up rooms. | + | * Good programming skills in Common Lisp |
+ | * Basic ROS knowledge | ||
+ | |||
+ | The student will be introduced to the CRAM framework at the beginning | ||
- | The Institute for Artificial Intelligence is hiring a student researcher for the | + | Contact: [[team: |
- | development and the integration of probabilistic methods in AI, which enable intelligent robots to understand, interpret and execute natural-language instructions from recipes from the World Wide Web. | + | --></ |
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | < |
+ | == Mesh Editing / Mesh Segmentation/ | ||
+ | {{ : | ||
- | Tasks: | + | Editing and cutting a human mesh into different parts in Blender / Maya (or other). |
- | * Implementation of an interface to the Robot Operating System | + | |
- | * 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: | Requirements: | ||
- | * Studies | + | * Good knowledge |
- | * Basic skills in Artificial Intelligence | + | * Familiar with Blender / Maya (or other) |
- | * 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: [[team/ |
+ | --></html> | ||
- | Contact: [[team: | ||
- | [1] www.robohow.eu\\ | + | == 3D animation and model developer (Student Job / HiWi)== |
- | [2] http://www.youtube.com/ | + | {{ :research: |
+ | Developing and improving existing or new 3D (static/ | ||
+ | models in Blender / Maya (or other). Further importing and testing the | ||
+ | models against Unreal Engine. | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | + | Bonus: Working with state of the art 3D Scanners |
- | | + | |
- | + | ||
- | Developing new activities and improving the current simulation framework done under the [[http://gazebosim.org/|Gazebo]] robotic simulator. Creating a custom GUI for the game, in order to launch | + | |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Experience with Blender |
- | * Basic physics/rendering engine knowledge | + | * Knowledge of Unreal Engine material |
- | * Gazebo simulator basic tutorials | + | * 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 | + | < |
+ | == Integrating | ||
+ | {{ : | ||
+ | |||
+ | Integrating | ||
Requirements: | Requirements: | ||
* Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
- | * Gazebo simulator | + | * Basic physics/ |
+ | * Basic ROS knowledge | ||
+ | * UE4 basic tutorials | ||
Contact: [[team: | Contact: [[team: | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | ||
- | {{ : | ||
- | Improving the skeletal tracking offered by the [[https://developer.leapmotion.com/|Leap Motion SDK]], by using two devices (one tracking vertically | + | == Realistic Grasping using Unreal Engine (BA/ |
+ | |||
+ | {{ : | ||
+ | |||
+ | The objective of the project is to implement var- | ||
+ | ious human-like grasping approaches in a game developed using [[https://www.unrealengine.com/|Unreal Engine]]. | ||
+ | |||
+ | 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. | ||
+ | |||
+ | In order to improve | ||
+ | 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 in Unreal Engine. | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | |||
+ | |||
+ | Contact: [[team/ | ||
+ | --></ | ||
+ | |||
+ | < | ||
+ | == Unreal Engine Editor Developer (Student Job / HiWi)== | ||
+ | {{ : | ||
+ | |||
+ | Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework [[https:// | ||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
+ | * Familiar with the [[https:// | ||
+ | * 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:// | + | == OpenEASE rendering |
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | ||
- | and should be implemented (PCISPH/ | ||
- | The interaction between | + | Implmenting |
- | Another topic would be the visualization of the fluid, currently is done by rendering every particle. For the rendering engine | + | Requirements: |
+ | * Good C++ programming skills | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with HTML5 and JavaScript | ||
+ | * Familiar with the [[https://docs.unrealengine.com/ | ||
+ | * Familiar with basic ROS communication | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | Here is a [[https:// | + | Contact: |
+ | |||
+ | < | ||
+ | == 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: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
- | * Interest in Fluid simulation | + | * Familiar with PID controllers and control theory |
- | * Basic physics/rendering engine knowledge | + | * Experience with simulators/physics-/game- engines |
- | * Gazebo simulator and Fluidix basic tutorials | + | * Familiar with Unreal Engine API |
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | 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: | ||
+ | |||
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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