Daniel Nyga
Orcid: 0000-0002-9176-8183
According to our database1,
Daniel Nyga
authored at least 16 papers
between 2010 and 2023.
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Bibliography
2023
2019
CoRR, 2019
2018
Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018
2017
Interpretation of Natural-language Robot Instructions: Probabilistic Knowledge Representation, Learning, and Reasoning (Interpretation Natürlichsprachlicher Roboterinstruktionen : Repräsentieren, Lernen und Schlussfolgern von Probabilistischem Wissen)
PhD thesis, 2017
Instruction completion through instance-based learning and semantic analogical reasoning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
What no robot has seen before - Probabilistic interpretation of natural-language object descriptions.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
2015
Reasoning about Unmodelled Concepts - Incorporating Class Taxonomies in Probabilistic Relational Models.
CoRR, 2015
Proceedings of the Robotics Research, 2015
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
2014
PR2 looking at things - Ensemble learning for unstructured information processing with Markov logic networks.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
2012
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
2011
How-models of human reaching movements in the context of everyday manipulation activities.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
2010
Understanding and executing instructions for everyday manipulation tasks from the World Wide Web.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010