Ozgur S. Oguz

Orcid: 0000-0001-8723-1837

Affiliations:
  • Bilkent University, Computer Engineering Department, Bilkent, Ankara, Turkey
  • University of Stuttgart, Machine Learning and Robotics Lab, Germany (former)
  • Max Planck Institute for Intelligent Systems, Stuttgart, Germany (former)
  • Technical University of Munich, Germany (former, PhD 2018)
  • University of British Columbia, Computer Science Department, BC, Canada (former)
  • Koc University, Turkey (former)


According to our database1, Ozgur S. Oguz authored at least 31 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Learning a Low-Dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly.
IEEE Trans. Robotics, February, 2023

Contact Energy Based Hindsight Experience Prioritization.
CoRR, 2023

FViT-Grasp: Grasping Objects With Using Fast Vision Transformers.
CoRR, 2023

Neural Field Representations of Articulated Objects for Robotic Manipulation Planning.
CoRR, 2023

Spatial Reasoning via Deep Vision Models for Robotic Sequential Manipulation.
IROS, 2023

2022
Learning Robotic Manipulation of Natural Materials With Variable Properties for Construction Tasks.
IEEE Robotics Autom. Lett., 2022

Visual analytics for nonlinear programming in robot motion planning.
J. Vis., 2022

RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning.
CoRR, 2021

Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Co-Optimizing Robot, Environment, and Tool Design via Joint Manipulation Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning.
Dataset, December, 2020

A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation.
IEEE Trans. Robotics, 2020

Visualization of nonlinear programming for robot motion planning.
Proceedings of the VINCI 2020: The 13th International Symposium on Visual Information Communication and Interaction, 2020

Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Adaptation and Transfer of Robot Motion Policies for Close Proximity Human-Robot Interaction.
Frontiers Robotics AI, 2019


2018
Learning Hand Movement Interaction Control Using RNNs: From HHI to HRI.
IEEE Robotics Autom. Lett., 2018

A Hybrid Framework for Understanding and Predicting Human Reaching Motions.
Frontiers Robotics AI, 2018

2017
Progressive stochastic motion planning for human-robot interaction.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

A game-theoretic approach for adaptive action selection in close proximity human-robot-collaboration.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Hybrid Human Motion Prediction for Action Selection Within Human-Robot Collaboration.
Proceedings of the International Symposium on Experimental Robotics, 2016

2015
An approach to integrate human motion prediction into local obstacle avoidance in close human-robot collaboration.
Proceedings of the 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts, 2015

2012
Supporting Negotiation Behavior with Haptics-Enabled Human-Computer Interfaces.
IEEE Trans. Haptics, 2012

Improving Human-Computer Cooperation Through Haptic Role Exchange and Negotiation.
Proceedings of the Immersive Multimodal Interactive Presence., 2012

2010
Haptic negotiation and role exchange for collaboration in virtual environments.
Proceedings of the 2010 IEEE Haptics Symposium, 2010


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