Paul Scheikl

Professur für Robotische Planung und Kognition in der Chirurgie

Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects (2024) Scheikl P, Schreiber N, Haas C, Freymuth N, Neumann G, Lioutikov R, Mathis-Ullrich F Journal article Sim-to-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery (2023) Scheikl PM, Tagliabue E, Gyenes B, Wagner M, Dall'Alba D, Fiorini P, Mathis-Ullrich F Journal article A learning robot for cognitive camera control in minimally invasive surgery (2021) Wagner M, Bihlmaier A, Kenngott HG, Mietkowski P, Scheikl PM, Bodenstedt S, Schiepe-Tiska A, et al. Journal article epiTracker: A Framework for Highly Reliable Particle Tracking for the Quantitative Analysis of Fish Movements in Tanks (2021) Bruch R, Scheikl PM, Mikut R, Loosli F, Reischl M Journal article Flexible Facile Tactile Sensor for Smart Vessel Phantoms (2021) Fischer N, Scheikl PM, Marzi C, Galindo-Blanco B, Kisilenko A, Müller-Stich BP, Wagner M, Mathis-Ullrich F Journal article Robots in the operating room—(co)operation during surgery Robotik im Operationssaal – (Ko‑)Operieren mit Kollege Roboter (2021) Mathis-Ullrich F, Scheikl PM Journal article, Review article Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning (2021) Scheikl PM, Gyenes B, Davitashvili T, Younis R, Schulze A, Mueller-Stich BP, Neumann G, et al. Conference contribution Deep learning for semantic segmentation of organs and tissues in laparoscopic surgery (2020) Scheikl PM, Laschewski S, Kisilenko A, Davitashvili T, Müller B, Capek M, Müller-Stich BP, et al. Journal article Evaluation of domain randomization techniques for transfer learning (2019) Grun S, Honinger S, Scheikl PM, Hein B, Kröger T Conference contribution Automated Versatile DIY Microscope Platform (2018) Pylatiuk C, Vogt M, Scheikl PM, Gottwald AE Conference contribution