This is an old revision of the document!


Daniel Nyga

daniel_nyga.jpg
Research Staff

Room: 1.77
Tel: –49 -421 218 64039
Fax: –49 -421 218 64047
Mail: nyga(at)cs[dot]uni-bremen[dot]de

About

Publications

Journal Articles and Book Chapters
[1]Beetz, Michael, Bálint-Benczédi, Ferenc, Blodow, Nico, Kerl, Christian, Márton, Zoltán-Csaba, Nyga, Daniel, Seidel, Florian, Wiedemeyer, Thiemo and Worch, Jan-Hendrik, "RoboSherlock: Unstructured Information Processing Framework for Robotic Perception", In Handling Uncertainty and Networked Structure in Robot Control, Springer International Publishing, Cham, pp. 181–208, 2015. [bibtex] [url] [doi]
[2]Michael Beetz, Hagen Langer and Daniel Nyga, "Planning Everyday Manipulation Tasks–Prediction-based Transformation of Structured Activity Descriptions", Chapter in Exploring Cybernetics, Springer, pp. 63–83, 2015. [bibtex]
[3]Nyga, Daniel and Beetz, Michael, "Cloud-based Probabilistic Knowledge Services for Instruction Interpretation", Chapter in Robotics Research, Springer, vol. 2, pp. 649–664, 2018. [bibtex]
Conference Papers
[4]Moritz Tenorth, Daniel Nyga and Michael Beetz, "Understanding and Executing Instructions for Everyday Manipulation Tasks from the World Wide Web", In IEEE International Conference on Robotics and Automation (ICRA), Anchorage, AK, USA, pp. 1486–1491, 2010. [bibtex] [url]
[5]Daniel Nyga, Moritz Tenorth and Michael Beetz, "How-Models of Human Reaching Movements in the Context of Everyday Manipulation Activities", In IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, 2011. [bibtex] [url]
[6]Daniel Nyga and Michael Beetz, "Everything Robots Always Wanted to Know about Housework (But were afraid to ask)", In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vilamoura, Portugal, 2012. [bibtex] [url]
[7]Daniel Nyga, Ferenc Balint-Benczedi and Michael Beetz, "PR2 Looking at Things: Ensemble Learning for Unstructured Information Processing with Markov Logic Networks", In IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014. [bibtex] [url]
[8]Nicholas Hubert Kirk, Daniel Nyga and Michael Beetz, "Controlled Natural Languages for Language Generation in Artificial Cognition", In IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014. [bibtex] [url]
[9]Michael Beetz, Ferenc Balint-Benczedi, Nico Blodow, Daniel Nyga, Thiemo Wiedemeyer and Zoltan-Csaba Marton, "RoboSherlock: Unstructured Information Processing for Robot Perception", In IEEE International Conference on Robotics and Automation (ICRA), Seattle, Washington, USA, 2015. Best Service Robotics Paper Award [bibtex] [pdf]
[10]Gheorghe Lisca, Daniel Nyga, Ferenc Bálint-Benczédi, Hagen Langer and Michael Beetz, "Towards Robots Conducting Chemical Experiments", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015. [bibtex] [url]
[11]Daniel Nyga and Michael Beetz, "Reasoning about Unmodelled Concepts – Incorporating Class Taxonomies in Probabilistic Relational Models", In Arxiv.org, 2015. Preprint [bibtex] [url]
[12]Daniel Nyga and Michael Beetz, "Cloud-based Probabilistic Knowledge Services for Instruction Interpretation", In International Symposium of Robotics Research (ISRR), Sestri Levante (Genoa), Italy, 2015. [bibtex] [url]
[13]Daniel Nyga, Mareike Picklum and Michael Beetz, "What No Robot Has Seen Before – Probabilistic Interpretation of Natural-language Object Descriptions", In International Conference on Robotics and Automation (ICRA), Singapore, 2017. [bibtex] [url]
[14]Daniel Nyga, Mareike Picklum, Sebastian Koralewski and Michael Beetz, "Instruction Completion through Instance-based Learning and Semantic Analogical Reasoning", In International Conference on Robotics and Automation (ICRA), Singapore, 2017. [bibtex] [url]
[15]Pomarlan, Mihai, Nyga, Daniel, Picklum, Mareike, Koralewski, Sebastian and Beetz, Michael, "Deeper Understanding of Vague Instructions through Simulated Execution (Extended Abstract)", In Proceedings of the 2017 International Conference on Autonomous Agents & Multiagent Systems, International Foundation for Autonomous Agents and Multiagent Systems, 2017. [bibtex] [pdf]
[16]Nyga, Daniel, Roy, Subhro, Paul, Rohan, Park, Daehyung, Pomarlan, Mihai, Beetz, Michael and Roy, Nicholas, "Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge", In 2nd Conference on Robot Learning (CoRL 2018), Zurich, Switzerland, 2018. [bibtex] [pdf]
[17]Daniel Nyga, Mareike Picklum, Tom Schierenbeck and Michael Beetz, "Joint Probability Trees", In Arxiv.org, 2023. Preprint [bibtex] [url]
Other Publications
[18]Moritz Tenorth, Daniel Nyga and Michael Beetz, "Understanding and Executing Instructions for Everyday Manipulation Tasks from the World Wide Web", Technical report, IAS group, Technische Universität München, Fakultät für Informatik, 2009. [bibtex]
[19]Daniel Nyga, "Interpretation of Natural-language Robot Instructions: Probabilistic Knowledge Representation, Learning, and Reasoning", PhD thesis, University of Bremen, 2017. [bibtex] [pdf]





Prof. Dr. hc. Michael Beetz PhD
Head of Institute

Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de

Discover our VRB for innovative and interactive research


Memberships and associations:


Social Media: