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Daniel Nyga
Daniel Nyga
Institute for Artificial Intelligence
Verified email at cs.uni-bremen.de - Homepage
Title
Cited by
Cited by
Year
Understanding and executing instructions for everyday manipulation tasks from the world wide web
M Tenorth, D Nyga, M Beetz
2010 ieee international conference on robotics and automation, 1486-1491, 2010
1642010
Robosherlock: Unstructured information processing for robot perception
M Beetz, F Bálint-Benczédi, N Blodow, D Nyga, T Wiedemeyer, ZC Marton
2015 IEEE International Conference on Robotics and Automation (ICRA), 1549-1556, 2015
1032015
Everything robots always wanted to know about housework (but were afraid to ask)
D Nyga, M Beetz
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
672012
Grounding robot plans from natural language instructions with incomplete world knowledge
D Nyga, S Roy, R Paul, D Park, M Pomarlan, M Beetz, N Roy
Conference on robot learning, 714-723, 2018
452018
PR2 looking at things—Ensemble learning for unstructured information processing with Markov logic networks
D Nyga, F Balint-Benczedi, M Beetz
2014 IEEE international conference on robotics and automation (ICRA), 3916-3923, 2014
452014
Subhro Roy, Rohan Paul, Daehyung Park, Mihai Pomarlan, Michael Beetz, and Nicholas Roy. Grounding robot plans from natural language instructions with incomplete world knowledge
D Nyga
Conference on Robot Learning, 714-723, 2018
262018
Towards robots conducting chemical experiments
G Lisca, D Nyga, F Bálint-Benczédi, H Langer, M Beetz
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
242015
Cloud-based probabilistic knowledge services for instruction interpretation
D Nyga, M Beetz
Robotics Research: Volume 2, 649-664, 2018
212018
How-models of human reaching movements in the context of everyday manipulation activities
D Nyga, M Tenorth, M Beetz
2011 IEEE International Conference on Robotics and Automation, 6221-6226, 2011
162011
Controlled natural languages for language generation in artificial cognition
NH Kirk, D Nyga, M Beetz
2014 IEEE International Conference on Robotics and Automation (ICRA), 6667-6672, 2014
152014
Instruction completion through instance-based learning and semantic analogical reasoning
D Nyga, M Picklum, S Koralewski, M Beetz
2017 IEEE International Conference on Robotics and Automation (ICRA), 4270-4277, 2017
122017
What no robot has seen before—probabilistic interpretation of natural-language object descriptions
D Nyga, M Picklum, M Beetz
2017 IEEE International Conference on Robotics and Automation (ICRA), 4278-4285, 2017
102017
Understanding and executing instructions for everyday manipulation tasks from the world wide web
D Nyga, M Tenorth, M Beetz
Submitted to the IEEE International Conference on Robotics and Automation …, 2009
62009
Interpretation of natural-language robot instructions: Probabilistic knowledge representation, learning, and reasoning
D Nyga
Universität Bremen, 2017
52017
Reasoning about unmodelled concepts-incorporating class taxonomies in probabilistic relational models
D Nyga, M Beetz
arXiv preprint arXiv:1504.05411, 2015
52015
pracmln–markov logic networks in Python
D Nyga, M Picklum, M Beetz
Accessed: May 13, 2022, 2013
52013
An automated model abstraction operator implemented in the multiple modeling environment MOM
P Struss, A Fraracci, D Nyga
25th International Workshop on Qualitative Reasoning, Barcelona, Spain, 2011
52011
Deeper Understanding of Vague Instructions through Simulated Execution
M Pomarlan, D Nyga, M Picklum, S Koralewski, M Beetz
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017
42017
RoboSherlock: Cognition-enabled robot perception for everyday manipulation tasks
F Bálint-Benczédi, JH Worch, D Nyga, N Blodow, P Mania, ZC Márton, ...
arXiv preprint arXiv:1911.10079, 2019
32019
Joint Probability Trees
D Nyga, M Picklum, T Schierenbeck, M Beetz
arXiv preprint arXiv:2302.07167, 2023
22023
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