Follow
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
1622010
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
992015
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
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
432014
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
422018
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
232015
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
212018
Cloud-based probabilistic knowledge services for instruction interpretation
D Nyga, M Beetz
Robotics Research: Volume 2, 649-664, 2018
202018
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
152011
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
142014
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
112017
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
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
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
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
52009
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
Planning everyday manipulation tasks–prediction-based transformation of structured activity descriptions
M Beetz, H Langer, D Nyga
Exploring Cybernetics: Kybernetik im interdisziplinären Diskurs, 63-83, 2015
22015
The system can't perform the operation now. Try again later.
Articles 1–20