Paul Maria Scheikl

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Object Manipulation

Reinforcement Learning

Object Reconstruction

Laparoscopic Surgery

Top Venues

IEEE Robotics Autom. Lett.

Publications

Rebekka Charlotte Peter, Steffen Peikert, Ludwig Haide, Doan Xuan Viet Pham, Tahar Chettaoui, Eleonora Tagliabue, Paul Maria Scheikl, Johannes Fauser, Matthias Hillenbrand, Gerhard Neumann, Franziska Mathis-Ullrich
Lens Capsule Tearing in Cataract Surgery using Reinforcement Learning. ICRA (2024)
Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich
Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects. IEEE Robotics Autom. Lett. 9 (6) (2024)
Paul Maria Scheikl, Eleonora Tagliabue, Balázs Gyenes, Martin Wagner, Diego Dall'Alba, Paolo Fiorini, Franziska Mathis-Ullrich
Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery. CoRR (2024)
Pit Henrich, Balázs Gyenes, Paul Maria Scheikl, Gerhard Neumann, Franziska Mathis-Ullrich
Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud. WACV (2024)
Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann
Grounding Graph Network Simulators using Physical Sensor Observations. CoRR (2023)
Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich
Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects. CoRR (2023)
Paul Maria Scheikl, Eleonora Tagliabue, Balázs Gyenes, Martin Wagner, Diego Dall'Alba, Paolo Fiorini, Franziska Mathis-Ullrich
Sim-to-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery. IEEE Robotics Autom. Lett. 8 (2) (2023)
Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann
Grounding Graph Network Simulators using Physical Sensor Observations. ICLR (2023)
Pit Henrich, Balázs Gyenes, Paul Maria Scheikl, Gerhard Neumann, Franziska Mathis-Ullrich
Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud. CoRR (2023)
Paul Maria Scheikl, Balázs Gyenes, Rayan Younis, Christoph Haas, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich
LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery. CoRR (2023)
Paul Maria Scheikl, Balázs Gyenes, Tornike Davitashvili, Rayan Younis, André Schulze, Beat P. Müller-Stich, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich
Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning. IROS (2021)
Paul Maria Scheikl, Balázs Gyenes, Tornike Davitashvili, Rayan Younis, André Schulze, Beat P. Müller-Stich, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich
Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning. CoRR (2021)
Silas Grün, Simon Höninger, Paul Maria Scheikl, Björn Hein, Torsten Kröger
Evaluation of Domain Randomization Techniques for Transfer Learning. ICAR (2019)