publications

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2022

  1. RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning
    Braun, Cornelius V., Ortiz-Haro, Joaquim, Toussaint, Marc, and Oguz, Ozgur S.
    IEEE IROS 2022

    [arXiv] [Bib]
  2. Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly
    Hartmann, Valentin Noah, Orthey, Andreas, Driess, Danny, Oguz, Ozgur S., and Toussaint, Marc
    IEEE TRO - Transactions on Robotics 2022

    [arXiv] [Bib]

2021

  1. Learning Robotic Manipulation of Natural Materials with Variable Properties for Construction Tasks
    Kalousdian, Nicolas K., Hartmann, Valentin N., Toussaint, Marc, Menges, Achim, and Oguz, Ozgur S.
    IEEE RA-L - Robotics and Automation Letters (under rev.) 2021

    [Bib]
  2. Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
    Schubert, Ingmar, Driess, Danny, , Oguz, Ozgur S., and Toussaint, Marc
    NeurIPS - Conf. on Neural Information Processing Systems 2021

    [arXiv] [Bib] [Code]
  3. Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
    Schubert, Ingmar, Oguz, Ozgur S., and Toussaint, Marc
    ICLR - Int. Conf. on Learning Representations 2021

    [arXiv] [Bib] [Video] [Slides]
  4. Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation
    Ortiz-Haro, Joaquim, Hartmann, Valentin N., Oguz, Ozgur S., and Toussaint, Marc
    IEEE ICRA - Int. Conf. on Robotics and Automation 2021

    [arXiv] [pdf] [Bib] [Video]
  5. Visual analytics for nonlinear programming in robot motion planning
    Hägele, David, Abdelaal, Moataz, Oguz, Ozgur S., Toussaint, Marc, and Weiskopf, Daniel
    Journal of Visualization 2021

    [Bib] [Website]

2020

  1. Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning
    Nguyen, Son T., Oguz, Ozgur S., Hartmann, Valentin N., and Toussaint, Marc
    CORL - Conf. on Robot Learning 2020

    [pdf] [Bib] [Video]
  2. Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
    Zhou, Zhehua, Oguz, Ozgur S, Leibold, Marion, and Buss, Martin
    IEEE TNNLS - Transactions on Neural Networks and Learning Systems 2020

    [arXiv] [pdf] [Bib]
  3. A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation
    Zhou, Zhehua, Oguz, Ozgur S., Leibold, Marion, and Buss, Martin
    IEEE TRO - Transactions on Robotics 2020

    [pdf] [Bib] [Video] [Website]
  4. Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning
    Hartmann, Valentin N., Oguz, Ozgur S., Driess, Danny, Toussaint, Marc, and Menges, Achim
    IEEE/RSJ IROS - Int. Conf. on Intelligent Robots and Systems 2020

    [arXiv] [Bib] [Video]
  5. Visualization of Nonlinear Programming for Robot Motion Planning
    Hägele, David, Abdelaal, Moataz, Oguz, Ozgur S., Toussaint, Marc, and Weiskopf, Daniel
    ACM VINCI - Proc. of the 13th Int. Sym. on Visual Information Communication and Interaction 2020

    [arXiv] [Bib] [Website]
  6. Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning
    Driess, Danny, Oguz, Ozgur, Ha, Jung-Su, and Toussaint, Marc
    IEEE ICRA - Int. Conf. on Robotics and Automation 2020

    [Bib] [Video]
  7. Co-Design in Architecture: A Modular Material-Robot Kinematic Construction System
    Leder, Samuel, Kim, HyunGyu, Oguz, Ozgur S., Hartmann, Valentin N., Toussaint, Marc, Menges, Achim, and Sitti, Metin
    2020

    [Bib]
  8. Planning Planning: The Path Planner as a Finite State Machine
    Hartmann, Valentin, Oguz, Ozgur S., and Toussaint, Marc
    2020

    [Bib] [Video]
  9. From Images to Task Planning: How NLP Can Help Physical Reasoning
    Nguyen, Son Tung, Oguz, Ozgur S., Driess, Danny, and Toussaint, Marc
    RSS Workshop on Self-supervised Robot Learning 2020

    [Bib]
  10. Guided sequential manipulation planning using a hierarchical policy
    Van, Hoai My, Oguz, Ozgur S., Zhou, Zhehua, and Toussaint, Marc
    RSS Workshop on Learning in Task and Motion Planning 2020

    [Bib]

2019

  1. Hierarchical Task and Motion Planning using Logic-Geometric Programming (HLGP)
    Driess, Danny, Oguz, Ozgur, and Toussaint, Marc
    2019

    [Bib] [Video]
  2. A Hybrid Human-Robot Collaborative Environment for Recycling Electrical and Electronic Equipment
    Axenopulos, Apostolos, Papadopoulos, Georgios, Giakoumis, Dimitrios, Kostavelis, Ioannis, Papadimitriou, Alexis Papadimitriou, Sillaurren, Sara, Bastida, Leire, Oguz, Ozgur, Wollherr, Dirk, Garnica, Eugenio, Vouloutsi, Vasiliki, Verschure, Paul, Tzovaras, Dimitrios, and Daras, Petros
    IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) 2019

    [Bib]
  3. An Ontology for Human-Human Interactions and Learning Interaction Behavior Policies
    Oguz, Ozgur S., Rampeltshammer, Wolfgang, Paillan, Sebastian, and Wollherr, Dirk
    ACM THRI - Transactions on Human-Robot Interaction 2019

    [Bib]
  4. Adaptation and Transfer of Robot Motion Policies for Close Proximity Human-Robot Interaction
    Hoang Dinh, Khoi, Oguz, Ozgur S., Elsayed, Mariam, and Wollherr, Dirk
    Frontiers in Robotics and AI 2019

    [Bib]

2018

  1. Learning Hand Movement Interaction Control Using RNNs: From HHI to HRI
    Oguz, Ozgur S, Pfirrman, Ben M., , and Wollherr, Dirk,
    NeurIPS Workshop on Imitation Learning and its Challenges in Robotics 2018

    [Bib]
  2. Learning Hand Movement Interaction Control Using RNNs: From HHI to HRI
    Oguz, Ozgur S., Pfirrmann, Ben M., Guo, Mingpan, and Wollherr, Dirk
    IEEE RA-L - Robotics and Automation Letters 2018

    [Bib]
  3. A Hybrid Framework for Understanding and Predicting Human Reaching Motions
    Oguz, Ozgur S., Zhou, Zhehua, and Wollherr, Dirk
    Frontiers in Robotics and AI 2018

    [Bib]
  4. An Inverse Optimal Control Approach to Explain Human Arm Reaching Control Based on Multiple Internal Models
    Oguz, Ozgur S., Zhou, Zhehua, Glasauer, Stefan, and Wollherr, Dirk
    Scientific Reports 2018

    [Bib]

2017

  1. Progressive stochastic motion planning for human-robot interaction
    Oguz, Ozgur S., Sari, Omer C., Dinh, Khoi H., and Wollherr, Dirk
    26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) 2017

    [Bib]
  2. Hybrid Human Motion Prediction for Action Selection Within Human-Robot Collaboration
    Oguz, Ozgur S., Gabler, Volker, Huber, Gerold, Zhou, Zhehua, and Wollherr, Dirk
    2017

    [Bib]
  3. A game-theoretic approach for adaptive action selection in close proximity human-robot-collaboration
    Gabler, Volker, Stahl, Tim, Huber, Gerold, Oguz, Ozgur, and Wollherr, Dirk
    IEEE ICRA - Int. Conf. on Robotics and Automation 2017

    [Bib]

2015

  1. An approach to integrate human motion prediction into local obstacle avoidance in close human-robot collaboration
    Dinh, Khoi Hoang, Oguz, Ozgur, Huber, Gerold, Gabler, Volker, and Wollherr, Dirk
    IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO) 2015

    [Bib]

2012

  1. Improving Human-Computer Cooperation Through Haptic Role Exchange and Negotiation
    Kucukyilmaz, Ayse, Oguz, Salih Ozgur, Sezgin, Tevfik Metin, and Basdogan, Cagatay
    2012

    [Bib]
  2. Supporting Negotiation Behavior with Haptics-Enabled Human-Computer Interfaces
    Oguz, Ozgur S., Kucukyilmaz, Ayse, Metin Sezgin, Tevfik, and Basdogan, Cagatay
    IEEE ToH - Transactions on Haptics 2012

    [Bib]

2010

  1. Haptic negotiation and role exchange for collaboration in virtual environments
    Oguz, Ozgur S., Kucukyilmaz, Ayse, Sezgin, Tevfik Metin, and Basdogan, Cagatay
    IEEE Haptics Symposium 2010

    [Bib]