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Daniel Nyga
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2020 – today
- 2023
- [i3]Daniel Nyga, Mareike Picklum, Tom Schierenbeck, Michael Beetz
:
Joint Probability Trees. CoRR abs/2302.07167 (2023)
2010 – 2019
- 2019
- [i2]Ferenc Bálint-Benczédi, Jan-Hendrik Worch, Daniel Nyga, Nico Blodow, Patrick Mania, Zoltán-Csaba Márton, Michael Beetz:
RoboSherlock: Cognition-enabled Robot Perception for Everyday Manipulation Tasks. CoRR abs/1911.10079 (2019) - 2018
- [c12]Daniel Nyga, Subhro Roy, Rohan Paul, Daehyung Park, Mihai Pomarlan, Michael Beetz, Nicholas Roy:
Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge. CoRL 2018: 714-723 - 2017
- [b1]Daniel Nyga:
Interpretation of Natural-language Robot Instructions: Probabilistic Knowledge Representation, Learning, and Reasoning (Interpretation Natürlichsprachlicher Roboterinstruktionen : Repräsentieren, Lernen und Schlussfolgern von Probabilistischem Wissen). Bremen University, Germany, 2017 - [c11]Mihai Pomarlan, Daniel Nyga, Mareike Picklum, Sebastian Koralewski, Michael Beetz:
Deeper Understanding of Vague Instructions through Simulated Execution. AAMAS 2017: 1694-1696 - [c10]Daniel Nyga, Mareike Picklum
Instruction completion through instance-based learning and semantic analogical reasoning. ICRA 2017: 4270-4277 - [c9]Daniel Nyga, Mareike Picklum
What no robot has seen before - Probabilistic interpretation of natural-language object descriptions. ICRA 2017: 4278-4285 - 2015
- [c8]Michael Beetz
RoboSherlock: Unstructured information processing for robot perception. ICRA 2015: 1549-1556 - [c7]Gheorghe Lisca
Towards robots conducting chemical experiments. IROS 2015: 5202-5208 - [c6]Daniel Nyga, Michael Beetz
Cloud-Based Probabilistic Knowledge Services for Instruction Interpretation. ISRR (2) 2015: 649-664 - [i1]Daniel Nyga, Michael Beetz:
Reasoning about Unmodelled Concepts - Incorporating Class Taxonomies in Probabilistic Relational Models. CoRR abs/1504.05411 (2015) - 2014
- [c5]Daniel Nyga
PR2 looking at things - Ensemble learning for unstructured information processing with Markov logic networks. ICRA 2014: 3916-3923 - [c4]Nicholas H. Kirk, Daniel Nyga
Controlled Natural Languages for language generation in artificial cognition. ICRA 2014: 6667-6672 - 2012
- [c3]Daniel Nyga
Everything robots always wanted to know about housework (but were afraid to ask). IROS 2012: 243-250 - 2011
- [c2]Daniel Nyga
How-models of human reaching movements in the context of everyday manipulation activities. ICRA 2011: 6221-6226 - 2010
- [c1]Moritz Tenorth, Daniel Nyga
Understanding and executing instructions for everyday manipulation tasks from the World Wide Web. ICRA 2010: 1486-1491
Coauthor Index
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