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team:daniel_nyga [2015/02/04 12:40] – [Supervised Theses] nygateam:daniel_nyga [2016/02/08 12:49] – [About] nyga
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 ~~NOTOC~~ ~~NOTOC~~
 =====Daniel Nyga, M.Sc. (TUM)====== =====Daniel Nyga, M.Sc. (TUM)======
-| {{:wiki:daniel_nyga.jpg}} ||||+| {{:wiki:daniel_nyga.jpg?0x180}} ||||
 |::: ||Research Staff\\ \\ || |::: ||Research Staff\\ \\ ||
 |:::|Room: |1.77| |:::|Room: |1.77|
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 |:::|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, 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. 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.
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 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. 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
  
 {{research:actioncore.png?w=620&h=65&t=1357297411}} {{research:actioncore.png?w=620&h=65&t=1357297411}}
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 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.
  
-I am also involved in the European research projects [[http://www.youtube.com/watch?v=qQG3CkH27qc#t=118|RoboHow]] ([[http://www.robohow.org]]) and [[http://www.acat-project.eu|ACAT]].+I am involved in the European research projects [[http://www.youtube.com/watch?v=qQG3CkH27qc#t=118|RoboHow]] ([[http://www.robohow.org]]) and [[http://www.acat-project.eu|ACAT]]. 
 + 
 +I am also the lead developer in the projects [[http://www.pracmln.org|pracmln]] and [[http://www.open-ease.org/nlp-overview/|PRAC]].
  
 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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 ====Teaching==== ====Teaching====
-  * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/le-ai-ss15|SS2015]]) (Tutorial) +  * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws15|WS2015/16]]) (Lecturer) 
-  * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws14|WS2014/15]]) (Lecture)+  * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/le-ai-ss15|SS2015]]) (Tutorial/Co-Lecturer
 +  * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws14|WS2014/15]]) (Lecturer)
   * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/kiss2014|SS2014]]) (Tutorial)   * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/kiss2014|SS2014]]) (Tutorial)
   * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/ki2-2013|WS2013/14]]) (Co-Lecturer)   * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/ki2-2013|WS2013/14]]) (Co-Lecturer)
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   * To see what no robot has seen before - Recognizing objects based on natural-language descriptions (Master's Thesis, Mareike Picklum)   * To see what no robot has seen before - Recognizing objects based on natural-language descriptions (Master's Thesis, Mareike Picklum)
   * 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 
 +   
 ====== 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

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