Curriculum Vitae

Marco Ewerton

Current Position
Since 2015Ph.D. Student at Intelligent Autonomous Systems group
 Technische Universität Darmstadt, Germany
 Topic: "Bidirectional Human-Robot Learning: Imitation and Skill Improvement"
 Supervisors: Ph.D. Guilherme Maeda and Prof. Dr. Jan Peters
  
Educational Background
2012-2014Master of Science in Electrical Engineering and Information Technology
 Technische Universität Darmstadt, Germany
 Thesis: "Modeling Human-Robot Interaction with Probabilistic Movement Representations"
 Supervisors: Ph.D. Guilherme Maeda, Jun. Prof. Dr. techn. Gerhard Neumann, Prof. Dr. Jan Peters and Prof. Dr.-Ing. Klaus Hofmann
2009-2012Bachelor of Science in Electrical Engineering and Information Technology
 Technische Universität Darmstadt, Germany
 Thesis: "Job Characteristics on Crowdsourcing Platforms"
 Supervisors: M.Sc. Sebastian Schmidt, Dr.-Ing. Philipp Scholl and Prof. Dr.-Ing. Ralf Steinmetz
  
Previous Work Experience
2012-2013Research Assistant at the Intelligent Autonous Systems group, TU Darmstadt, Germany
 Main topics: "3D reconstruction from multiple Kinect cameras" and "Human-Robot Interaction"
2009-2011Research Assistant at the department of "Information Visualization and Visual Analytics", Fraunhofer IGD, Germany
 As part of my activities, I wrote ontologies, programmed in ActionScript and JAVA and executed a number of tasks involving Semantics and Semantics Visualization
2006-2007Volunteer at the laboratory for interactive technologies (interlab), University of Sao Paulo, Brazil
 There I developed a soccer game for two robots using JAVA
Conference and Workshop Papers
 Motokura, K.; Takahashi, M.; Ewerton, M.; Peters, J. (2020). Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives, IEEE Robotics and Automation Letters (ICRA/RA-L), with Presentation at the IEEE International Conference on Robotics and Automation (ICRA), 5, 2, pp.2377-3766.   BibTeX Reference [BibTex]

Koert, D.; Trick, S.; Ewerton, M.; Lutter, M.; Peters, J. (2018). Online Learning of an Open-Ended Skill Library for Collaborative Tasks, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   Download Article [PDF]   BibTeX Reference [BibTex]

Maeda, G.; Ewerton, M.; Osa, T.; Busch, B.; Peters, J. (2017). Active Incremental Learning of Robot Movement Primitives, Proceedings of the Conference on Robot Learning (CoRL).   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M.; Maeda, G.; Neumann, G.; Kisner, V.; Kollegger, G.; Wiemeyer, J.; Peters, J. (2016). Movement Primitives with Multiple Phase Parameters, Proceedings of the International Conference on Robotics and Automation (ICRA), pp.201--206.   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M.; Maeda, G.J.; Kollegger, G.; Wiemeyer, J.; Peters, J. (2016). Incremental Imitation Learning of Context-Dependent Motor Skills, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), pp.351--358.   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M.; Neumann, G.; Lioutikov, R.; Ben Amor, H.; Peters, J.; Maeda, G. (2015). Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives, Proceedings of the International Conference on Robotics and Automation (ICRA), pp.1535--1542.   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M.; Maeda, G.J.; Peters, J.; Neumann, G. (2015). Learning Motor Skills from Partially Observed Movements Executed at Different Speeds, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), pp.456--463.   Download Article [PDF]   BibTeX Reference [BibTex]

Maeda, G.; Neumann, G.; Ewerton, M.; Lioutikov, R.; Peters, J. (2015). A Probabilistic Framework for Semi-Autonomous Robots Based on Interaction Primitives with Phase Estimation, Proceedings of the International Symposium of Robotics Research (ISRR).   Download Article [PDF]   BibTeX Reference [BibTex]

Maeda, G.J.; Ewerton, M.; Lioutikov, R.; Amor, H.B.; Peters, J.; Neumann, G. (2014). Learning Interaction for Collaborative Tasks with Probabilistic Movement Primitives, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), pp.527--534.   Download Article [PDF]   BibTeX Reference [BibTex]

Ben Amor, H.; Vogt, D.; Ewerton, M.; Berger, E.; Jung, B.; Peters, J. (2013). Learning Responsive Robot Behavior by Imitation, Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Ben Amor, H.; Ewerton, M.; Peters, J. (2012). Point Cloud Completion Using Extrusions, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   Download Article [PDF]   BibTeX Reference [BibTex]
Journal Papers
 Koert, D.; Trick, S.; Ewerton, M.; Lutter, M.; Peters, J. (2020). Incremental Learning of an Open-Ended Collaborative Skill Library, International Journal of Humanoid Robotics (IJHR), 17, 1.   BibTeX Reference [BibTex]

Ewerton, M.; Arenz, O.; Peters, J. (2020). Assisted Teleoperation in Changing Environments with a Mixture of Virtual Guides, Advanced Robotics, 34.   BibTeX Reference [BibTex]

Maeda, G.; Neumann, G.; Ewerton, M.; Lioutikov, R.; Kroemer, O.; Peters, J. (2017). Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks, Autonomous Robots (AURO), 41, 3, pp.593-612.   Download Article [PDF]   BibTeX Reference [BibTex]

Maeda, G.; Ewerton, M.; Neumann, G.; Lioutikov, R.; Peters, J. (2017). Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration, International Journal of Robotics Research (IJRR), 36, 13-14, pp.1579-1594.   Download Article [PDF]   BibTeX Reference [BibTex]

Dermy, O.; Paraschos, A.; Ewerton, M.; Charpillet, F.; Peters, J.; Ivaldi, S (2017). Prediction of intention during interaction with iCub with Probabilistic Movement Primitives, Frontiers in Robotics and AI, 4, pp.45.   Download Article [PDF]   BibTeX Reference [BibTex]

Maeda, G.; Ewerton, M.; Koert, D; Peters, J. (2016). Acquiring and Generalizing the Embodiment Mapping from Human Observations to Robot Skills, IEEE Robotics and Automation Letters (RA-L), 1, 2, pp.784--791.   Download Article [PDF]   BibTeX Reference [BibTex]
Theses
 Ewerton, M. (2019). Bidirectional Human-Robot Learning: Imitation and Skill Improvement, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M. (2014). Modeling Human-Robot Interaction with Probabilistic Movement Representations, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

  

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