Oz S. Oguz

I’m a postdoc at the Learning and Intelligence Systems Lab working with Marc Toussaint. I’m affiliated with Uni Stuttgart & Max Planck Institute for Intelligent Systems, and working within the Cluster of Excellence: IntCDC.

My research interests include task and motion planning in robotics, and learning and reasoning for intelligent systems. I received my PhD degree from TU Munich, where I focused on HRI in close-proximity scenarios. I studied computer science at UBC and Koç Uni, and started my research journey working on haptic interfaces.



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Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning

Integrating robotic systems in architectural and construction processes is of core interest to increase the efficiency of the building …

A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation

Although the state-of-the-art learning approaches exhibit impressive results for dynamical systems, only a few applications on real …

Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning

In this paper, we propose a deep neural network that predicts the feasibility of a mixed-integer program from visual input for robot …

An Ontology for Human-Human Interactions and Learning Interaction Behavior Policies

A Hybrid Human-Robot Collaborative Environment for Recycling Electrical and Electronic Equipment

In this paper, a novel hybrid human-robot recycling plant for electrical and electronic equipment is introduced. The proposed system …