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team:daniel_nyga [2013/06/25 13:57] – [About] nygateam:daniel_nyga [2013/09/09 09:57] – nyga
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 |::: ||Research Staff\\ \\ || |::: ||Research Staff\\ \\ ||
 |:::|Room: |1.77| |:::|Room: |1.77|
-|:::|Tel: |--49 -421 218 64039|+|:::|Tel: |--49 -421 218 64008|
 |:::|Fax: |--49 -421 218 64047| |:::|Fax: |--49 -421 218 64047|
 |:::|Mail: |<cryptmail>nyga@cs.uni-bremen.de</cryptmail>| |:::|Mail: |<cryptmail>nyga@cs.uni-bremen.de</cryptmail>|
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 ====About==== ====About====
-Before I joined the Institute for Artificial Intelligence, I studied Computer Science at Technische Universität München. I'm working on the import of action-specific knowledge from the World Wide Web into the knowledge bases of our mobile robots. In particular, my current research focuses on understanding natural language, in order to enable a robot to autonomously acquire new high-level skills by querying web pages such as eHow.com or wikiHow.com.+Before I joined the Institute for Artificial Intelligence, I studied Computer Science at Technische Universität München, where I received my Master's degree in 2010 (with distinction). In February 2011 I started my PhD supervised by Prof. Michael Beetz at the //Intelligent Autonomous Systems// group at TUM, which I am now continuing at the IAI, University of Bremen. 
 + 
 +I'm working on the import of action-specific knowledge from the World Wide Web into the knowledge bases of our mobile robots. In particular, my current research focuses on understanding natural language, in order to enable a robot to autonomously acquire new high-level skills by querying web pages such as eHow.com or wikiHow.com.
  
 My work aims at building up action-specific knowledge bases from various knowledge sources, such as natural language, interactive computer games, observations of humans performing everyday activity or experience data of a robot. My work aims at building up action-specific knowledge bases from various knowledge sources, such as natural language, interactive computer games, observations of humans performing everyday activity or experience data of a robot.
  
-{{people:nyga:actioncore.png?w=700&h=65&t=1357297411}}+{{research:actioncore.png?w=620&h=65&t=1357297411}}
  
 Knowledge about actions and objects is represented as //Probabilistic Robot Action Cores (PRAC)//, which can be thought of generic event patterns that enable a robot to infer important information that is missing in an original natural-language instruction. PRAC models are represented in //Markov Logic Networks//, a powerful knowlegde represenation formalism combing first-order logic and probability theory. Knowledge about actions and objects is represented as //Probabilistic Robot Action Cores (PRAC)//, which can be thought of generic event patterns that enable a robot to infer important information that is missing in an original natural-language instruction. PRAC models are represented in //Markov Logic Networks//, a powerful knowlegde represenation formalism combing first-order logic and probability theory.
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   * 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, um mobile Haushaltsroboter zu befähigen, 
 +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, natürlichsprachliche 
 +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:
 +  * Implementierung einer Schnittstelle für das Robot Operating System (ROS),
 +  * 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: 10-20 Std./Woche
 +
 +[1] www.robohow.eu\\
 +[2] http://www.youtube.com/watch?v=0eIryyzlRwA
 +
 +
 ====== Publications ====== ====== Publications ======
  
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