Journals and Conferences

  • 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.
    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.
    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 | 
  • 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 | 
  • 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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  • 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

  • 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

  • M. Gienger and M. Mühlig, “Robot with hand-object movement correlations for online temporal segmentation of movement tasks.” Patent, 02-Nov-2011 [Online]. Available at: http://www.patentlens.net/patentlens/patent/EP_2366502_B1/en/
  • M. Gienger, M. Mühlig, and J. J. Steil, “Robot with automatic selection of task-specific representations for imitation learning.” Patent, 19-Jan-2011 [Online]. Available at: http://www.patentlens.net/patentlens/patent/EP_2224303_B1/en/

Misc

  • 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.
    abstract | 
  • 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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