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~~NOTOC~~ | ~~NOTOC~~ | ||
=====Daniel Nyga, M.Sc. (TUM)====== | =====Daniel Nyga, M.Sc. (TUM)====== | ||
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|::: ||Research Staff\\ \\ || | |::: ||Research Staff\\ \\ || | ||
|:::|Room: |1.77| | |:::|Room: |1.77| | ||
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|:::|Mail: |< | |:::|Mail: |< | ||
|:::| || | |:::| || | ||
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====About==== | ====About==== | ||
Before I joined the Institute for Artificial Intelligence, | Before I joined the Institute for Artificial Intelligence, | ||
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Knowledge about actions and objects is represented as // | Knowledge about actions and objects is represented as // | ||
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+ | I am involved in the European research projects [[http:// | ||
+ | |||
+ | I am also the lead developer in the projects [[http:// | ||
If you are interested in a student project in any of the above topics, please contact me via E-Mail or just drop into my office. | If you are interested in a student project in any of the above topics, please contact me via E-Mail or just drop into my office. | ||
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====Fields of Interest==== | ====Fields of Interest==== | ||
* Artificial Intelligence | * Artificial Intelligence | ||
+ | * Probability Theory | ||
* Probabilistic Knowledge Processing | * Probabilistic Knowledge Processing | ||
* Machine Learning | * Machine Learning | ||
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====Teaching==== | ====Teaching==== | ||
+ | * AI: Knowledge Acquisition and Representation ([[https:// | ||
+ | * Foundations of Artificial Intelligence ([[https:// | ||
+ | * AI: Knowledge Acquisition and Representation ([[https:// | ||
+ | * Foundations of Artificial Intelligence ([[https:// | ||
+ | * AI: Knowledge Acquisition and Representation ([[https:// | ||
* Foundations of Artificial Intelligence ([[https:// | * Foundations of Artificial Intelligence ([[https:// | ||
- | * Technical Cognitive Systems (Lecture & Tutorial, | + | * Technical Cognitive Systems (Lecture & Tutorial, |
- | * Techniques in Artificial Intelligence (Tutorial, | + | * Techniques in Artificial Intelligence (Tutorial, |
- | * Discrete Probability Theory (Tutorial, | + | * Discrete Probability Theory (Tutorial, |
+ | |||
====Supervised Theses==== | ====Supervised Theses==== | ||
+ | * Lifelong Learning of First-order Probabilistic Models for Everyday Robot Manipulation (Master' | ||
+ | * Scaling Probabilistic Completion of Robot Instructions through Semantic Information Retrieval (Master' | ||
+ | * To see what no robot has seen before - Recognizing objects based on natural-language descriptions (Master' | ||
* Web-enabled Learning of Models for Word Sense Disambiguation (Bachelor Thesis, Stephan Epping) | * Web-enabled Learning of Models for Word Sense Disambiguation (Bachelor Thesis, Stephan Epping) | ||
- | * Grounding Words to Objects: A Joint Model for Co-reference and Entity Resolution Using Markov Logic Networks for Robot Instruction Processing (Diploma Thesis, Florian Meyer) | + | * Grounding Words to Objects: A Joint Model for Co-reference and Entity Resolution Using Markov Logic Networks for Robot Instruction Processing (Diploma Thesis, Florian Meyer) |
- | + | | |
- | ====Open Positions==== | + | |
- | Studentische Hilfskraft im Bereich Wissensrepräsentation und | + | |
- | Sprachverstehen für intelligente autonome Roboter gesucht. | + | |
- | + | ||
- | Im Rahmen des europäischen Forschungsprojektes RoboHow.Cog [1,2] | + | |
- | werden Methoden erforscht, um Wissen aus unterschiedlichen Quellen | + | |
- | (z.B. Videos, Text, Computerspiele und kinästhetische Demonstration) | + | |
- | miteinander zu verknüpfen, | + | |
- | selbstständig ihr Repertoire an Fähigkeiten (wie z.B. die | + | |
- | Zubereitung von Pfannkuchen) zu erweitern. | + | |
- | + | ||
- | Die Arbeitsgruppe für Künstliche Intelligenz (ai.uni-bremen.de) der | + | |
- | Uni Bremen sucht ab sofort eine studentische Hilfskraft für die | + | |
- | Entwicklung und Integration von probabilistischen Methoden der KI, | + | |
- | die es autonomen Haushaltsrobotern ermöglichen, | + | |
- | Instruktionen aus Rezepten im World Wide Web zu verstehen und | + | |
- | auszuführen. | + | |
- | + | ||
- | Die HiWi-Tätigkeit kann auch als Ausgangspunkt für weitere Bachelor-, | + | |
- | Diplom- oder Masterarbeiten dienen. | + | |
- | + | ||
- | Aufgaben: | + | |
- | | + | |
- | * Anbindung der Wissensbasis an das Ausführungsmodul des Roboters | + | |
- | * Unterstützung der wissenschaftlichen Mitarbeiter bei der Erweiterung und Integration der Roboterplattform PR2. | + | |
- | + | ||
- | Kompetenzen: | + | |
- | * Informatikstudium (Bachelor, Master oder Diplom) | + | |
- | * Grundkenntnisse im Bereich Künstliche Intelligenz | + | |
- | * Grundkenntnisse im Bereich Wahrscheinlichkeitstheorie | + | |
- | * Grundkenntnisse im Bereich Maschinelles Lernen | + | |
- | * Programmierkenntnisse in den Sprachen Python u. Java | + | |
- | + | ||
- | Ausgeschriebene Stundenzahl: | + | |
- | + | ||
- | [1] www.robohow.eu\\ | + | |
- | [2] http:// | + | |
- | + | ||
====== Publications ====== | ====== Publications ====== | ||
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
Discover our VRB for innovative and interactive research
Memberships and associations: