Journals and Conferences (23)

  • C. Street, S. Pütz, M. Mühlig, N. Hawes, and B. Lacerda, “Congestion-Aware Policy Synthesis for Multirobot Systems,” IEEE Transactions on Robotics, pp. 1–19, 2021.
    DOI: 10.1109/TRO.2021.3071618 |  abstract | 
  • C. Wang, S. Hasler, M. Mühlig, F. Joublin, A. Ceravola, J. Deigmöller, L. Fischer, and P. An, “Designing Interaction for Multi-agent Cooperative System in an Office Environment ,” in ACM/IEEE International Conference on Human-Robot Interaction, 2021.
    DOI: 10.1145/3434074.3447277 |  abstract | 
  • C. Wang, S. Hasler, M. Mühlig, F. Joublin, A. Ceravola, J. Deigmöller, and L. Fischer, “Designing Interaction for Multi-agent System in an Office Environment,” in CHINESE CHI 2020, 2020.
    DOI: 10.1145/3403676.3404349 |  abstract | 
  • M. Mühlig, S. Hasler, L. Fischer, and J. Deigmöller, “A Knowledge-based Multi-entity and Cooperative System Architecture,” in ICHMS 2020: 1st IEEE International Conference on Human-Machine Systems, 2020.
    DOI: 10.1109/ICHMS49158.2020.9209421 |  abstract | 
  • A. Sadik, C. Goerick, and M. Mühlig, “Modeling and Simulation of a Multi-Robot System Architecture,” in 2019 International Conference on Mechatronics, Robotics and Systems Engineering, 2020.
    DOI: 10.1109/MoRSE48060.2019.8998662 |  abstract | 
  • C. Wang, S. Hasler, M. Mühlig, F. Joublin, A. Ceravola, J. Deigmöller, and L. Fischer, “Designing Interaction for Multi-agent Cooperative System in an Office Environment,” in Arxiv, Arxiv, 2020.
    abstract | 
  • C. Street, B. Lacerda, M. Mühlig, and N. Hawes, “Multi-Robot Planning Under Uncertainty with Congestion-Aware Models,” in Nineteenth International Conference on Autonomous Agents and Multi-Agent Systems , 2020.
    DOI: 10.5555/3398761.3398913 |  abstract | 
  • N. Einecke, S. Fuchs, B. Bolder, and M. Mühlig, “Living Lab: A 24/7 Human-Machine-Interaction Space in an Office Environment,” in Proceedings of the Poster and Workshop Sessions of AmI-2019, the 2019 European Conference on Ambient Intelligence, 2019, pp. 111–123.
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  • N. Einecke, S. Fuchs, B. Bolder, and M. Mühlig, “Living Lab: A 24/7 Human-Machine-Interaction Space in an Office Environment,” in UbiComp/ISWC 2019 Adjunct, 2019.
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  • C. H. Sung, M. Mühlig, M. Gienger, and Y. Uno, “Task-dependent Distribution and Constrained Optimization of Via-points for Smooth Robot Motions,” in 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, Washington, USA, 2015.
    DOI: 10.1109/ICRA.2015.7139693 |  abstract | 
  • M. Mühlig, A. Hayashi, M. Gienger, S. Iba, and T. Yoshiike, “Receding Horizon Optimization of Robot Motions generated by Hierarchical Movement Primitives,” in IEEE International Conference on Intelligent Robotics Systems (IROS 2014), Chicago, 2014.
    DOI: 10.1109/IROS.2014.6942551 |  abstract | 
  • A.-L. Vollmer, M. Mühlig, J. J. Steil, K. Pitsch, J. Fritsch, K. J. Rohlfing, and B. Wrede, “Robots Show Us How to Teach Them: Feedback from Robots Shapes Tutoring Behavior during Action Learning,” PLoS ONE, vol. 9, no. 3, p. e91349, Mar. 2014.
    DOI: 10.1371/journal.pone.0091349 |  abstract | 
  • A.-L. Vollmer, M. Mühlig, K. Rohlfing, B. Wrede, and A. Cangelosi, “Demonstrating actions to a robot: How naîve users correct a robot’s replication of goal and manner-oriented actions,” in The 17th Workshop on the Semantics and Pragmatics of Dialogue (DialDam), 2013.
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  • K. Pitsch, A.-L. Vollmer, and M. Mühlig, “Robot feedback shapes the tutor’s presentation: How a robot’s online gaze strategies lead to micro-adaptation of the human’s conduct,” Interaction Studies, vol. 14, no. 2, pp. 268–295, 2013.
    DOI: 10.1075/is.14.2.06pit |  abstract | 
  • T. Luksch, M. Gienger, M. Mühlig, and T. Yoshiike, “Adaptive Movement Sequences and Predictive Decisions based on Hierarchical Dynamical Systems,” in 25th IEEE/RSL International Conference on Intelligent Robots and Systems (IROS), Vilamoura, Portugal, 2012.
  • T. Luksch, M. Gienger, M. Mühlig, and T. Yoshiike, “A Dynamical Systems Approach to Adaptive Sequencing of Movement Primitives,” in Proceedings of the 7th German Conference on Robotics (ROBOTIK), Munich, Germany, 2012.
    abstract | 
  • M. Mühlig, M. Gienger, and J. J. Steil, “Interactive imitation learning of object movement skills,” Autonomous Robots, vol. 32, no. 2, pp. 97–114, 2012.
    DOI: 10.1007/s10514-011-9261-0 |  abstract | 
  • N. Einecke, M. Mühlig, J. Schmüdderich, and M. Gienger, “‘Bring it to me’ – Generation of Behavior-Relevant Scene Elements for Interactive Robot Scenarios,” in 2011 IEEE International Conference on Robotics and Automation (ICRA), 2011.
    DOI: 10.1109/ICRA.2011.5979952 |  abstract | 
  • M. Mühlig, M. Gienger, and J. J. Steil, “Human-Robot Interaction for Learning and Adaptation of Object Movements,” in 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010, pp. 4901–4907.
    DOI: 10.1109/IROS.2010.5649229 |  abstract | 
  • M. Gienger, M. Mühlig, and J. J. Steil, “Imitating Object Movement Skills with Robots - A Task-Level Approach Exploiting Generalization and Invariance,” in 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010, pp. 1262–1269.
    DOI: 10.1109/IROS.2010.5649990 |  abstract | 
  • M. Rudolph, M. Mühlig, M. Gienger, and H.-J. Böhme, “Learning the Consequences of Actions: Representing Effects as Feature Changes,” in 2010 International Symposium on Learning and Adaptive Behavior in Robotic Systems, 2010.
    DOI: 10.1109/EST.2010.9 |  abstract | 
  • M. Mühlig, M. Gienger, J. J. Steil, and C. Goerick, “Automatic Selection of Task Spaces for Imitation Learning,” in 2009 IEEE International Conference on Intelligent Robots and Systems, 2009, pp. 4996–5002.
    DOI: 10.1109/IROS.2009.5353894 |  abstract | 
  • M. Mühlig, M. Gienger, S. Hellbach, J. J. Steil, and C. Goerick, “Task-level Imitation Learning using Variance-based Movement Optimization,” in 2009 IEEE International Conference on Robotics and Automation, 2009, pp. 1177–1184.
    DOI: 10.1109/ROBOT.2009.5152439 |  abstract | 

Books (2)

  • M. Mühlig, “A Whole Systems Approach to Robot Imitation Learning of Object Movement Skills,” PhD thesis, Shaker, 2011 [Online]. Available at: http://www.shaker.de/shop/978-3-8440-0489-2
    abstract | 
  • M. Mühlig, “Task Learning of Bimanual Object Handling,” Master's thesis, Ilmenau University of Technology, 2008.
    abstract | 

Patents (3)

  • M. Mühlig, M. Gienger, and A. Hayashi, “Method for improving operation of a robot.” Patent, 05-Oct-2016.
  • M. Gienger and M. Mühlig, “Robot with hand-object movement correlations for online temporal segmentation of movement tasks.” Patent, 02-Nov-2011.
  • M. Gienger, M. Mühlig, and J. J. Steil, “Robot with automatic selection of task-specific representations for imitation learning.” Patent, 19-Jan-2011.

Misc (4)

  • M. Mühlig, M. Gienger, and J. J. Steil, “Goal-directed imitation learning from humans.” Poster at Robot Learning Summer School 2009, Lisboa, Portugal, Jul-2009.
  • M. Mühlig, “Echtzeitfähige Umsetzung der visuellbasierten Bestimmung objektspezifischer Flussfelder.” Studienarbeit, 2007.
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  • M. Mühlig, “Literaturrecherche zu Verfahren für die Detektion von Kanten in Farbbildern.” Hauptseminararbeit, 2007.
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  • M. Mühlig, “Untersuchung der Möglichkeiten fraktaler Features zur Bildanalyse.” Hauptseminararbeit, 2006.
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