Paul Maria Scheikl

According to our database, Paul Maria Scheikl authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects.

Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich

IEEE Robotics Autom. Lett., June, 2024

LUDO: Low-Latency Understanding of Highly Deformable Objects using Point Cloud Occupancy Functions.

Pit Henrich, Franziska Mathis-Ullrich, Paul Maria Scheikl

CoRR, 2024

Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud.

Pit Henrich, Balázs Gyenes, Paul Maria Scheikl, Gerhard Neumann, Franziska Mathis-Ullrich

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Lens Capsule Tearing in Cataract Surgery using Reinforcement Learning.

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Sim-to-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery.

Paul Maria Scheikl, Eleonora Tagliabue, Balázs Gyenes, Martin Wagner, Diego Dall'Alba, Paolo Fiorini, Franziska Mathis-Ullrich

IEEE Robotics Autom. Lett., 2023

LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery.

Paul Maria Scheikl, Balázs Gyenes, Rayan Younis, Christoph Haas, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich

J. Mach. Learn. Res., 2023

Grounding Graph Network Simulators using Physical Sensor Observations.

Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning.

Paul Maria Scheikl, Balázs Gyenes, Tornike Davitashvili, Rayan Younis, André Schulze, Beat P. Müller-Stich, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2019

Evaluation of Domain Randomization Techniques for Transfer Learning.

Silas Grün, Simon Höninger, Paul Maria Scheikl, Björn Hein, Torsten Kröger

Proceedings of the 19th International Conference on Advanced Robotics, 2019