Dr-Ing Özgür S. Ögüz

Dr-Ing Özgür S. Ögüz

Email: o.oguz@tum.de

Short Biography

Since 11/2014 Research Assistant
Chair of Automatic Control Engineering
Technical University Munich, Germany (TUM)
'10 - '12 Teaching Assistant and Graduate Student
University of British Columbia, Canada
'07, '10 B.Sc., M.Sc. (summa cum laude) Electrical And Computer Engineering
Koc University, Turkey
Master Thesis: Haptic negotiation and role exchange for collaboration in virtual environments

Research Interests

My research focuses on developing novel control, optimization and learning algorithms to provide necessary and safe robotic assistance to humans. The specific topics of interest are:

  • (Inverse) Reinforcement Learning
  • (Inverse) Optimal Control 
  • Human Sensorimotor Control
  • Safe Learning for close proximity HRI/C

Open Positions

Looking for motivated students to work on projects/thesis topics related to:

  • Human-Robot Interaction & Collaboration (HRI/C)
  • (Deep) Learning and Optimal Control for HRI/C

Publications (Recent)

  • Ozgur S. Oguz, Ben Pfirrmann, Mingpan Guo and Dirk Wolherr (2018): Learning Hand Movement Interaction Control Using RNNs: From HHI to HRI, NeurIPS Imitation Learning and its Challenges in Robotics Workshop, Dec. 2018. (online) (video) (code).
  • Ozgur S. Oguz, Ben Pfirrmann, Mingpan Guo  and Dirk Wolherr (2018): Learning Hand Movement Interaction Control Using RNNs: From HHI to HRI, Robotics and Automation Letters (RA:L), vol. 3, no. 4, pp. 4100-4107, Oct. 2018. (online) (video) (code).
  • Ozgur S. Oguz, Zhehua Zhou, Stefan Glasauer and Dirk Wolherr (2018), An Inverse Optimal Control Approach to Explain Human Arm Reaching Control Based on Multiple Internal Models, Nature Scientific Reports, vol 8, 1, 5583 (pdf, online).
  • Ozgur S. Oguz, Zhehua Zhou and Dirk Wolherr (2018), A Hybrid Framework for Understanding and Predicting Human Reaching Motions, Frontiers in Robotics and AI, vol 5, 27 (online).
  • Ozgur S. Oguz, Wolfgang Rampeltshammer and Dirk Wolherr: An Ontology for Human-Human Interaction and Learning Interaction Behavior Models, Transactions on Human-Robot Interaction (THRI) (under review).
  • Ozgur S. Oguz, Ahmed Magdy and Dirk Wolherr: A Hybrid Approach for Constrained Deep Reinforcement Learning, (preprint).

Publications (Prior to LSR)

  • Ozgur S. Oguz, Ayse Kucukyilmaz, Tevfik M. Sezgin, Cagatay Basdogan, Improving human-computer cooperation through haptic role exchange and negotiation, (Book Chapter) Immersive Multimodal Interactive Presence, 229-254, 2012.
  • Ozgur S. Oguz, Ayse Kucukyilmaz, Tevfik M. Sezgin, Cagatay Basdogan, Supporting negotiation behavior with haptics-enabled human-computer interfaces, IEEE transactions on haptics 5 (3), 274-284, 2012. 
  • Ozgur S. Oguz, Ayse Kucukyilmaz, Tevfik M. Sezgin, Cagatay Basdogan, Haptic negotiation and role exchange for collaboration in virtual environments, IEEE Haptics Symposium, 2010.
  • Ozgur S. Oguz, Ayse Kucukyilmaz, Tevfik M. Sezgin, Cagatay Basdogan, Collaborative Haptic Negotiation and Role Exchange in Multimodal Virtual Environments, CSW 1 st Computer Science Student Workshop, 2010.