Natural-language understanding for intelligent robots – Related work

Publications

[1] Daniel Nyga, Mareike Picklum, Sebastian Koralewski, Michael Beetz, "Instruction Completion through Instance-based Learning and Semantic Analogical Reasoning", In International Conference on Robotics and Automation (ICRA), Singapore, 2017. Accepted for publication [bib]
[2] Daniel Nyga, Mareike Picklum, Michael Beetz, "What No Robot Has Seen Before -- Probabilistic Interpretation of Natural-language Object Descriptions", In International Conference on Robotics and Automation (ICRA), Singapore, 2017. Accepted for publication [bib]
[3] Daniel Nyga, Michael Beetz, "Cloud-based Probabilistic Knowledge Services for Instruction Interpretation", In International Symposium of Robotics Research (ISRR), Sestri Levante (Genoa), Italy, 2015. [bib] [pdf]
[4] Daniel Nyga, Michael Beetz, "Reasoning about Unmodelled Concepts -- Incorporating Class Taxonomies in Probabilistic Relational Models", In Arxiv.org, 2015. Preprint [bib] [pdf]
[5] Gheorghe Lisca, Daniel Nyga, Ferenc Bálint-Benczédi, Hagen Langer, Michael Beetz, "Towards Robots Conducting Chemical Experiments", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015. [bib] [pdf]
[6] Nicholas Hubert Kirk, Daniel Nyga, Michael Beetz, "Controlled Natural Languages for Language Generation in Artificial Cognition", In IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014. [bib] [pdf]
[7] Daniel Nyga, Michael Beetz, "Everything Robots Always Wanted to Know about Housework (But were afraid to ask)", In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vilamoura, Portugal, 2012. [bib] [pdf]
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