Lens Capsule Tearing in Cataract Surgery using Reinforcement Learning
Peter, R. C.; Peikert, S.; Haide, L.; Pham, D. X. V.; Chettaoui, T.; Tagliabue, E.; Scheikl, P. M.; Fauser, J.; Hillenbrand, M.; Neumann, G.; Mathis-Ullrich, F.
2024. 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, 13th-17th May 2024, 15501 – 15508, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA57147.2024.10611714

Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects
Scheikl, P. M.; Schreiber, N.; Haas, C.; Freymuth, N.; Neumann, G.; Lioutikov, R.; Mathis-Ullrich, F.
2024. IEEE Robotics and Automation Letters, 9 (6), 5338–5345. doi:10.1109/LRA.2024.3382529

Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud
Henrich, P.; Gyenes, B.; Scheikl, P. M.; Neumann, G.; Mathis-Ullrich, F.
2024. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 3129–3138

Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud
Henrich, P.; Gyenes, B.; Scheikl, P. M.; Neumann, G.; Mathis-Ullrich, F.
2023. arxiv. doi:10.48550/arXiv.2311.07357

Grounding Graph Network Simulators using Physical Sensor Observations
Linkerhägner, J.; Freymuth, N.; Scheikl, P. M.; Mathis-Ullrich, F.; Neumann, G.
2023. 11th International Conference on Learning Representations (ICLR 2023), 27 S. doi:10.48550/arXiv.2302.11864

LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery
Scheikl, P. M.; Gyenes, B.; Younis, R.; Haas, C.; Neumann, G.; Wagner, M.; Mathis-Ullrich, F.
2023. Journal of Machine Learning Research, 24 (368), 1–42

Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery
Scheikl, P. M.; Tagliabue, E.; Gyenes, B.; Wagner, M.; Dall’Alba, D.; Fiorini, P.; Mathis-Ullrich, F.
2022. IEEE Robotics and Automation Letters, 8 (2), 560–567. doi:10.1109/LRA.2022.3227873

Flexible Facile Tactile Sensor for Smart Vessel Phantoms
Fischer, N.; Scheikl, P.; Marzi, C.; Galindo-Blanco, B.; Kisilenko, A.; Müller-Stich, B. P.; Wagner, M.; Mathis-Ullrich, F.
2021. Current directions in biomedical engineering, 7 (1), 87–91. doi:10.1515/cdbme-2021-1019

epiTracker: A Framework for Highly Reliable Particle Tracking for the Quantitative Analysis of Fish Movements in Tanks
Bruch, R.; Scheikl, P. M.; Mikut, R.; Loosli, F.; Reischl, M.
2021. SLAS technology, 26 (4), 367–376. doi:10.1177/2472630320977454

Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning
Scheikl, P. M.; Gyenes, B.; Davitashvili, T.; Younis, R.; Schulze, A.; Müller-Stich, B. P.; Neumann, G.; Wagner, M.; Mathis-Ullrich, F.
2021. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 27 Sept.-1 Oct. 2021, 1859–1864, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS51168.2021.9636193

A learning robot for cognitive camera control in minimally invasive surgery
Wagner, M.; Bihlmaier, A.; Kenngott, H. G.; Mietkowski, P.; Scheikl, P. M.; Bodenstedt, S.; Schiepe-Tiska, A.; Vetter, J.; Nickel, F.; Speidel, S.; Wörn, H.; Mathis-Ullrich, F.; Müller-Stich, B. P.
2021. Surgical endoscopy and other interventional techniques, 35, 5365–5374. doi:10.1007/s00464-021-08509-8

Robotik im Operationssaal – (Ko‑)Operieren mit Kollege Roboter
Mathis-Ullrich, F.; Scheikl, P. M.
2021. Der Gastroenterologe, 16, 25–34. doi:10.1007/s11377-020-00496-x

Deep learning for semantic segmentation of organs and tissues in laparoscopic surgery
Scheikl, P. M.; Laschewski, S.; Kisilenko, A.; Davitashvili, T.; Müller, B.; Capek, M.; Müller-Stich, B. P.; Wagner, M.; Mathis-Ullrich, F.
2020. Current directions in biomedical engineering, 6 (1), Article no: 20200016. doi:10.1515/cdbme-2020-0016

Path Planning for Robotic Camera Guidance in Laparoscopy
Scheikl, P. M.; Zhebin, J.; Mathis-Ullrich, F.
2020. Biomedical engineering, 65 (s1)

A Simulation Environment for Visual Multi-Agent Reinforcement Learning in Robot-Assisted Laparoscopy
Scheikl, P. M.; Scheler, U.; Franke, N.; Mathis-Ullrich, F.
2020. Biomedical engineering, 65 (s1)

Sheet-Metal Production Scheduling Using AlphaGo Zero
Rinciog, A.; Mieth, C.; Scheikl, P. M.; Meyer, A.
2020. Proceedings of the 1st Conference on Production Systems and Logistics (CPSL 2020), Stellenbosch, ZA, March 17-20, 2020. Ed.: P. Nyhuis, 342–352. doi:10.15488/9676

Collaborative Control for Surgical Robots
Scheikl, P. M.; Lanz, D.; Mathis-Ullrich, F.
2019, May. IEEE International Conference on Robotics and Automation - Workshop: Open Challenges and State-of-the-Art in Control System Design and Technology Development for Surgical Robotic Systems (ICRA 2019), Montreal, Canada, May 20–24, 2019

A Mechatronic Interface for using Oblique-Viewing Endoscopes with Light Weight Robots for Laparoscopic Surgery
Petani, L.; Scheikl, P. M.; Mathis-Ullrich, F.
2019, May. IEEE International Conference on Robotics and Automation - Workshop: Open Challenges and State-of-the-Art in Control System Design and Technology Development for Surgical Robotic Systems (ICRA 2019), Montreal, Canada, May 20–24, 2019

Evaluation of Methods for Semantic Segmentation of Endoscopic Images
Bopp, B.; Scheikl, P. M.; Kunz, C.; Mathis-Ullrich, F.
2019, May. IEEE International Conference on Robotics and Automation - Workshop: Open Challenges and State-of-the-Art in Control System Design and Technology Development for Surgical Robotic Systems (ICRA 2019), Montreal, Canada, May 20–24, 2019

Collaborative Control for Surgical Robots
Scheikl, P. M.; Lanz, D.; Mathis-Ullrich, F.
2019, May

A Mechatronic Interface for using Oblique-Viewing Endoscopes with Light Weight Robots for Laparoscopic Surgery
Petani, L.; Scheikl, P. M.; Mathis-Ullrich, F.
2019, May

Evaluation of domain randomization techniques for transfer learning
Grün, S.; Honinger, S.; Scheikl, P. M.; Hein, B.; Kröger, T.
2019. 19th International Conference on Advanced Robotics (ICAR), Belo Horizonte, Brasil, December 02-06, 2019, 481–486, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICAR46387.2019.8981654

Analyzing Natural Language Commands during Laparoscopic Surgery for Robotic Camera Guidance
Scheikl, P. M.; Nigl, B.; Kunz, C.; Mathis-Ullrich, F.
2019. 18. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. - Tagungsband. Reutlingen, 19 - 21 September 2019. Hrsg.: O. Burgert, 29–31, Hochschule Reutlingen

Fast Volumetric Auto-Segmentation of Head CT Images in Emergency Situations for Ventricular Punctures
Kunz, C.; Henrich, P.; Scheikl, P. M.; Hlavac, M.; Schneider, M.; Heinz, W.; Hein, B.; Mathis-Ullrich, F.
2019. CURAC 2019 - 18. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, Reutlingen, 19. - 21. September 2019. Hrsg.: O. Burgert, 41–46, Hochschule

Evaluation of Methods for Semantic Segmentation of Endoscopic Images
Bopp, B.; Scheikl, P. M.; Kunz, C.; Mathis-Ullrich, F.
2019

Automated Versatile DIY Microscope Platform
Pylatiuk, C.; Vogt, M.; Scheikl, P.; Gottwald, and E.
2018, July. 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018), Honolulu, HI, USA, July 17–21, 2018

Automated Versatile DIY Microscope Platform
Pylatiuk, C.; Vogt, M.; Scheikl, P.; Gottwald, and E.
2018. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 5310–5312, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EMBC.2018.8513465

Dem Ingenieur ist nichts zu schwer - Mythos Maschinenbau-Studium - Beitrag in "Campus Magazin" auf ARD alpha vom 13.01.2017
Haas, M.; Kaupp, J.; Scheikl, P.
2017. doi:10.5445/DIVA/2017-56

Beispiele für den Einsatz von Automatisierungstechnik bei der Analyse biologischer Modellorganísmen
Marcato, D.; Breitwieser, H.; Scheikl, P.; Peravali, R.; Reischl, M.; Pylatiuk, C.
2016. Automatisierungstechnik, 64 (11), 915–925. doi:10.1515/auto-2016-0117