Paul Scheikl

Professur für Robotische Planung und Kognition in der Chirurgie

Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud (2024) Henrich P, Gyenes B, Scheikl P, Neumann G, Mathis-Ullrich F Conference contribution Lens Capsule Tearing in Cataract Surgery using Reinforcement Learning (2024) Peter RC, Peikert S, Haide L, Pham DXV, Chettaoui T, Tagliabue E, Scheikl P, et al. Conference contribution A surgical activity model of laparoscopic cholecystectomy for co-operation with collaborative robots (2024) Younis R, Yamlahi A, Bodenstedt S, Scheikl P, Kisilenko A, Daum M, Schulze A, et al. Journal article 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