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Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics


Nov 15, 2021
Ingmar Schubert, Danny Driess, Ozgur S. Oguz, Marc Toussaint

* 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia 

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RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning


Oct 07, 2021
Cornelius V. Braun, Joaquim Ortiz-Haro, Marc Toussaint, Ozgur S. Oguz

* for source code, see https://github.com/cornelius-braun/rhh-lgp 

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Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning


Sep 10, 2021
Zhehua Zhou, Ozgur S. Oguz, Yi Ren, Marion Leibold, Martin Buss


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Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks


Jul 14, 2021
Ingmar Schubert, Ozgur S. Oguz, Marc Toussaint

* ICLR 2021 - 9th International Conference on Learning Representations 
* Published as a conference paper at ICLR 2021 

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Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly


Jun 04, 2021
Valentin Noah Hartmann, Andreas Orthey, Danny Driess, Ozgur S. Oguz, Marc Toussaint

* 12 pages 

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Visualization of Nonlinear Programming for Robot Motion Planning


Jan 28, 2021
David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf

* Proceedings of the 13th International Symposium on Visual Information Communication and Interaction (2020), Article No. 10, Pages 1-8 
* 8 pages, 6 figures 

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Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation


Nov 09, 2020
Joaquim Ortiz de Haro, Valentin N. Hartmann, Ozgur S. Oguz, Marc Toussaint


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Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems


Oct 19, 2020
Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss


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


Mar 17, 2020
Valentin N. Hartmann, Ozgur S. Oguz, Danny Driess, Marc Toussaint, Achim Menges


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