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- | =====Daniel Nyga====== | + | =====Daniel Nyga, M.Sc. (TUM)====== |
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- | ====== About ====== | + | ====About==== |
+ | Before I joined the Intelligent Autonomous Systems Group I studied Computer Science at TUM. I'm currently working on the import of knowledge from the world wide web into the knowledge base of our mobile robots. In particular, my current research focuses on understanding natural-language, | ||
+ | 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: | ||
+ | |||
+ | Knowledge about actions and objects is represented as // | ||
+ | |||
+ | 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. | ||
+ | |||
+ | ====Fields of Interest==== | ||
+ | * Artificial Intelligence | ||
+ | * Probabilistic Knowledge Processing | ||
+ | * Machine Learning | ||
+ | * Statistical Relational Learning | ||
+ | * Data Mining/ | ||
+ | * Automated Learning/ | ||
+ | * Natural-Language Understanding | ||
+ | |||
+ | ====Teaching==== | ||
+ | * Foundations of Artificial Intelligence ([[https:// | ||
+ | * Technical Cognitive Systems (Lecture & Tutorial, @TUM) ([[https:// | ||
+ | * Techniques in Artificial Intelligence (Tutorial, @TUM) ([[https:// | ||
+ | * Discrete Probability Theory (Tutorial, @TUM) ([[http:// | ||
+ | |||
+ | ====Supervised Theses==== | ||
+ | * 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) | ||
====== 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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