M.Sc. Matteo Saveriano

Technische Universität München
Dynamic Human-Robot Interaction (Prof. Dongheui Lee)

Karlstraße 45
80333 München

Room: CCRL-II, 5008

Phone: +49(89) 289-26884
Office hours: Please send email in advance.
matteo.saveriano@tum.de


Short biography

Since Jan 2012 Ph.D. student, Institute of Automatic Control Engineering (LSR), Technische Universität München (TUM), Munich, Germany
05.2011 M.Sc. Automatic Control Engineering, Università degli Studi di Napoli Federico II, Naples, Italy
10.2008 B.Sc. Automatic Control Engineering, Università degli Studi di Napoli Federico II, Naples, Italy

Research Interests

  • Safe Human-Robot Interaction
  • Learning and Interpreting Human Activities
  • Intuitive Skills Transfer
  • Reactive Collision Avoidance


Teaching


Invited talks

  1. Matteo Saveriano, Data-Efficient Control Policy Search using Residual Dynamics Learning, International Conference on Intelligent Robots and Systems (IROS) - Workshop on Micro-Data: The New Frontier of Robot Learning?, 2017.
  2. Matteo Saveriano, Online Motion Reshaping based on Dynamical Systems: A Contribution to Human-Robot Co-existence, International Conference on Robotics and Automation (ICRA) - Workshop on Planning, Control, and Sensing for Safe Human-Robot Interaction, 2015.

Publications

Journal articles

  1. Dongheui Lee, Raffaele Soloperto, and Matteo Saveriano, Bidirectional Invariant Representation of Rigid Body Motions and its Application to Gesture Recognition and Reproduction, Autonomous Robots, 2017 (accepted). (PDF)
  2. Matteo Saveriano, Fabian Hirt, and Dongheui Lee, Human-aware motion reshaping using dynamical systems, Pattern Recognition Letters, 2017 (accepted). (PDF)
  3. Pietro Falco, Matteo Saveriano, Eka Gibran Hasany, Nicholas H. Kirk, and Dongheui Lee, A Human Action Descriptor based on Motion Coordination, Robotics and Automation Letters (RA-L), vol. 2, No. 2, p. 811-818, 2017 (invited for presentation at ICRA 2017). (PDF)

Peer-reviewed conference papers

  1. Matteo Saveriano, Yuchao Yin, Pietro Falco, and Dongheui Lee, Data-Efficient Control Policy Search using Residual Dynamics Learning, Proceedings of the International Conference on Intelligent Robots and Systems (IROS), p. 4709-4715, 2017.
  2. Riccardo Caccavale, Matteo Saveriano, Giuseppe Andrea Fontanelli, Fanny Ficuciello, Dongheui Lee, and Alberto Finzi, Imitation Learning and Attentional Supervision of Dual-Arm Structured Tasks, Proceedings of the International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EPIROB), p. 66-71, 2017.
  3. Caroline Blocher, Matteo Saveriano, and Dongheui Lee, Learning Stable Dynamical Systems using Contraction Theory, Proceedings of the International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), p. 124-129, 2017. Outstanding Paper Award. (PDF)
  4. Roman Roor, Jonas Hess, Matteo Saveriano, Michael Karg, and Alexandra Kirsch, Sensor Fusion for Semantic Place Labeling, International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), p. 121-131, 2017. Best Student Paper Award Candidate. (PDF)
  5. Dharmil Shah, Pietro Falco, Matteo Saveriano, and Dongheui Lee, Encoding Human Actions with a Frequency Domain Approach, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016, p. 5304-5311. (PDF)
  6. Nicholas H. Kirk, Karinne Ramirez-Amaro, Emmanuel Dean-Leon, Matteo Saveriano, and Gordon Cheng, Online Prediction of Activities with Structure: Exploiting Contextual Associations and Sequences, in Proceedings of the IEEE International Conference on Humanoid Robots (HUMANOIDS), 2015, p. 744-749. (PDF)
  7. Matteo Saveriano, Sangik An, and Dongheui Lee, Incremental Kinesthetic Teaching of End-Effector and Null-Space Motion Primitives, in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2015, p. 3570-3575. (PDF)
  8. Raffaele Soloperto, Matteo Saveriano, and Dongheui Lee, A Bidirectional Invariant Representation of Motion for Gesture Recognition and Reproduction, in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2015, p. 6146-6152. (PDF)
  9. Matteo Saveriano and Dongheui Lee, Learning Motion and Impedance Behaviors from Human Demonstrations, Proceedings of the International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2014, p. 368-373. (PDF)
  10. Matteo Saveriano and Dongheui Lee, Distance based Dynamical System Modulation for Reactive Avoidance of Moving Obstacles, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2014, p. 5618-5623. (PDF)
  11. Vito Magnanimo, Matteo Saveriano, Silvia Rossi, and Dongheui Lee, A Bayesian Approach for Task Recognition and Future Human Activity Prediction, Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man), 2014, p. 726-731. Kazuo Tanie Award Candidate. (PDF)
  12. Matteo Saveriano and Dongheui Lee, Invariant Representation for User Independent Motion Recognition, Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man), 2013, p. 650-655. (PDF)
  13. Matteo Saveriano and Dongheui Lee, Point Cloud based Dynamical System Modulation for Reactive Avoidance of Convex and Concave Obstacles, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013, p. 5380-5387. (PDF)
  14. Francesco Donnarumma, Vincenzo Lippiello, and Matteo Saveriano, Fast Incremental Clustering and Representation of a 3D Point Cloud Sequence with Planar Regions, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012, p. 3475 - 3480. (PDF)

International Workshops

  1. Matteo Saveriano, Yuchao Yin, Pietro Falco, and Dongheui Lee, PI-REM: Policy Improvement with REsidual Model learning, 10th International Workshop on Human-Friendly Robotics (HFR), 2017.
  2. Riccardo Caccavale, Alberto Finzi, Dongheui Lee, and Matteo Saveriano, Integrated Task Learning and Kinesthetic Teaching for Human-Robot Cooperation, Italian Workshop on Arti cial Intelligence and Robotics (AIRO), 2016.
  3. Florian Winter, Matteo Saveriano, and Dongheui Lee, The Role of Coupling Terms in Variable Impedance Policies Learning, 9th International Workshop on Human-Friendly Robotics (HFR), 2016. (PDF)
  4. Riccardo Caccavale, Alberto Finzi, Dongheui Lee, Enrico Leone, Silvia Rossi, Matteo Saveriano, and Mariacarla Staffa, Integrating Multimodal Interaction and Kinesthetic Teaching for Flexible Human-Robot Collaboration, 8th International Workshop on Human-Friendly Robotics (HFR), 2015. (PDF)
  5. Jie Liu, Matteo Saveriano, and Dongheui Lee, Robot Compliant Behavior through Reinforcement Learning, 7th International Workshop on Human-Friendly Robotics (HFR), 2014. (PDF)
  6. Matteo Saveriano and Dongheui Lee, Invariant Representation of Motion for Gesture Recognition in Daily Life Scenarios, 6th International Workshop on Human-Friendly Robotics (HFR), 2013. (PDF)
  7. Matteo Saveriano and Dongheui Lee, Distance based Dynamical System Modulation for Reactive Collision Avoidance, DGR-Tage (DGR-days), 2013. (PDF)

Posters and videos

  1. Matteo Saveriano and Dongheui Lee, Safe Motion Generation and Online Reshaping using Dynamical Systems, Proceedings of the International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2014. Best Poster/Video Presentation Award. (PDF) (VIDEO)
  2. Sven Parusel, Hannes Widmoser, Saskia Golz, Tobias Ende, Nico Blodow, Matteo Saveriano, Alexis Maldonado, Ingo Kresse, Roman Weitschat, Dongheui Lee, Michael Beetz, Alin Albu-Schaeffer, and Sami Haddadin, Human-Robot Interaction Planning, the 28th AAAI Conference on Artificial Intelligence (AAAI), 2014. Nomination for Best Robot Video Award. (VIDEO)