| 2018 | CoRL | Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge. | Daniel Nyga, Subhro Roy, Rohan Paul, Daehyung Park, Mihai Pomarlan, Michael Beetz, Nicholas Roy |
| 2017 | ICRA | What no robot has seen before - Probabilistic interpretation of natural-language object descriptions. | Daniel Nyga, Mareike Picklum, Michael Beetz |
| 2017 | ICRA | Instruction completion through instance-based learning and semantic analogical reasoning. | Daniel Nyga, Mareike Picklum, Sebastian Koralewski, Michael Beetz |
| 2015 | ICRA | RoboSherlock: Unstructured information processing for robot perception. | Michael Beetz, Ferenc Balint-Benczedi, Nico Blodow, Daniel Nyga, Thiemo Wiedemeyer, Zoltan-Csaba Marton |
| 2015 | IROS | Towards robots conducting chemical experiments. | Gheorghe Lisca, Daniel Nyga, Ferenc Balint-Benczedi, Hagen Langer, Michael Beetz |
| 2015 | ISRR | Cloud-Based Probabilistic Knowledge Services for Instruction Interpretation. | Daniel Nyga, Michael Beetz |
| 2014 | ICRA | Controlled Natural Languages for language generation in artificial cognition. | Nicholas H. Kirk, Daniel Nyga, Michael Beetz |
| 2014 | ICRA | PR2 looking at things - Ensemble learning for unstructured information processing with Markov logic networks. | Daniel Nyga, Ferenc Balint-Benczedi, Michael Beetz |
| 2012 | IROS | Everything robots always wanted to know about housework (but were afraid to ask). | Daniel Nyga, Michael Beetz |
| 2011 | ICRA | How-models of human reaching movements in the context of everyday manipulation activities. | Daniel Nyga, Moritz Tenorth, Michael Beetz |
| 2010 | ICRA | Understanding and executing instructions for everyday manipulation tasks from the World Wide Web. | Moritz Tenorth, Daniel Nyga, Michael Beetz |