| 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 | 164 | 2010 |
| 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 | 103 | 2015 |
| 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 | 67 | 2012 |
| 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 | 45 | 2018 |
| 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 | 45 | 2014 |
| 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 | 26 | 2018 |
| 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 | 24 | 2015 |
| Cloud-based probabilistic knowledge services for instruction interpretation D Nyga, M Beetz Robotics Research: Volume 2, 649-664, 2018 | 21 | 2018 |
| 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 | 16 | 2011 |
| 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 | 15 | 2014 |
| 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 | 12 | 2017 |
| 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 | 10 | 2017 |
| 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 | 6 | 2009 |
| Interpretation of natural-language robot instructions: Probabilistic knowledge representation, learning, and reasoning D Nyga Universität Bremen, 2017 | 5 | 2017 |
| Reasoning about unmodelled concepts-incorporating class taxonomies in probabilistic relational models D Nyga, M Beetz arXiv preprint arXiv:1504.05411, 2015 | 5 | 2015 |
| pracmln–markov logic networks in Python D Nyga, M Picklum, M Beetz Accessed: May 13, 2022, 2013 | 5 | 2013 |
| 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 | 5 | 2011 |
| 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 | 4 | 2017 |
| 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 | 3 | 2019 |
| Joint Probability Trees D Nyga, M Picklum, T Schierenbeck, M Beetz arXiv preprint arXiv:2302.07167, 2023 | 2 | 2023 |
