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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 of the European research project RoboHow.Cog [1,2] we | + | 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 | + | * Good programming |
+ | * Basic ROS knowledge | ||
- | The Institute for Artificial Intelligence is hiring a student | + | The student |
- | development and the integration | + | |
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | Contact: [[team: |
+ | --></ | ||
- | Tasks: | + | < |
- | * Implementation of an interface to the Robot Operating System | + | == Mesh Editing / Mesh Segmentation/ |
- | * Linkage of the knowledge base to the executive of the robot. | + | {{ : |
- | * Support for the scientific staff in extending | + | |
+ | | ||
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. | ||
- | == Depth-Adaptive Superpixels (BA/ | + | Bonus: Working with state of the art 3D Scanners [[https://www.goscan3d.com/ |
- | | + | |
- | 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 | + | Requirements: |
+ | * Experience with Blender / Maya (or other) | ||
+ | * Knowledge | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | |||
+ | < | ||
+ | == Integrating PR2 in the Unreal Game Engine Framework (BA/ | ||
+ | {{ : | ||
+ | |||
+ | Integrating the [[https:// | ||
Requirements: | Requirements: | ||
- | | + | * Good programming skills in C/C++ |
- | | + | * Basic physics/ |
- | * Experience with CUDA is helpful | + | * Basic ROS knowledge |
+ | * UE4 basic tutorials | ||
- | Contact: [[team:jan-hendrik_worch|Jan-Hendrik Worch]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | == Tools for knowledge acquisition from the Web (BA/ | + | == Realistic Grasping using Unreal Engine |
+ | |||
+ | {{ : | ||
+ | |||
+ | The objective of the project is to implement var- | ||
+ | ious human-like grasping approaches in a game developed using [[https:// | ||
+ | |||
+ | 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 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 of the Unreal Engine API. | ||
+ | * 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:// | ||
- | There are several options for doing a project related to the acquisition of | ||
- | knowledge from Web sources like online shops, repositories of object models, | ||
- | recipe databases, etc. | ||
Requirements: | Requirements: | ||
- | * Programing | + | * Good C++ programming |
- | * Experience | + | * Familiar with the [[https:// |
- | * Depending on the focus of the project, experience | + | * Familiar with Unreal Engine API |
+ | * Familiar with version-control systems | ||
+ | * Able to work independently | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | |||
+ | |||
+ | == OpenEASE rendering in Unreal Engine (BA/MA Thesis, Student Job / HiWi)== | ||
+ | |||
+ | |||
+ | Implmenting the rendering of the [[https:// | ||
+ | |||
+ | Requirements: | ||
+ | * Good C++ programming skills | ||
+ | * Familiar with Unreal Engine API | ||
+ | * 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 | ||
+ | * 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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