Paul Maria Scheikl

According to our database, Paul Maria Scheikl authored at least 19 papers between 2019 and 2026.

Collaborative distances:

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

2026

Surgical Gaussian Surfels: Highly Accurate Real-time Surgical Scene Rendering using Gaussian Surfels.

Idris O. Sunmola, Zhenjun Zhao, Samuel Schmidgall, Yumeng Wang, Paul Maria Scheikl, Viet Pham, Axel Krieger

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

LUDO: Low-Latency Understanding of Deformable Objects Using Point Cloud Occupancy Functions (Abstract Reprint).

Pit Henrich, Franziska Mathis-Ullrich, Paul Maria Scheikl

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Point Cloud Segmentation for Autonomous Clip Positioning in Laparoscopic Cholecystectomy on a Phantom.

Balázs Gyenes, Nikolai Franke, Paul Maria Scheikl, Pit Henrich, Rayan Younis, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich

IEEE Robotics Autom. Lett., August, 2025

Surgical Gaussian Surfels: Highly Accurate Real-time Surgical Scene Rendering.

Idris O. Sunmola, Zhenjun Zhao, Samuel Schmidgall, Yumeng Wang, Paul Maria Scheikl, Axel Krieger

CoRR, March, 2025

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

Pit Henrich, Franziska Mathis-Ullrich, Paul Maria Scheikl

IEEE Trans. Robotics, 2025

SRT-H: A hierarchical framework for autonomous surgery via language-conditioned imitation learning.

Ji Woong Kim, Juo-Tung Chen, Pascal Hansen, Lucy Xiaoyang Shi, Antony Goldenberg, Samuel Schmidgall, Paul Maria Scheikl, Anton Deguet, Brandon M. White, De Ru Tsai, Richard Jaepyeong Cha, Jeffrey Jopling, Chelsea Finn, Axel Krieger

Sci. Robotics, 2025

Autonomous Vision-Guided Resection of Central Airway Obstruction.

Mariana E. Smith, Nural Yilmaz, Tanner Watts, Paul Maria Scheikl, Jiawei Ge, Anton Deguet, Alan Kuntz, Axel Krieger

J. Medical Robotics Res., 2025

Towards Fluorescence-Guided Autonomous Robotic Partial Nephrectomy on Novel Tissue-Mimicking Hydrogel Phantoms.

Ethan Kilmer, Joseph Chen, Jiawei Ge, Preksha Sarda, Richard Jaepyeong Cha, Kevin Cleary, Lauren M. Shepard, Ahmed Ezzat Ghazi, Paul Maria Scheikl, Axel Krieger

J. Medical Robotics Res., 2025

SurgiPose: Estimating Surgical Tool Kinematics from Monocular Video for Surgical Robot Learning.

Juo-Tung Chen, Xinhao Chen, Ji Woong Kim, Paul Maria Scheikl, Richard Jaepyeong Cha, Axel Krieger

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

From Monocular Vision to Autonomous Action: Guiding Tumor Resection via 3D Reconstruction.

Ayberk Acar, Mariana E. Smith, Lidia Al-Zogbi, Tanner Watts, Fangjie Li, Hao Li, Nural Yilmaz, Paul Maria Scheikl, Jesse F. d'Almeida, Susheela Sharma, Lauren Branscombe, Tayfun Efe Ertop, Robert J. Webster III, Ipek Oguz, Alan Kuntz, Axel Krieger, Jie Ying Wu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

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