Paul Maria Scheikl - Concepedia

Author

Paul Maria Scheikl

Karlsruhe Institute of Technology ORCID

Also Known As

P. M. Scheikl, Paul M. Scheikl, Paul Maria Scheikl, Paul Scheikl, Scheikl, P. M., Scheikl, Paul, Scheikl, Paul Maria

Publications

321

Citations

H-Index

Concepts

All Affiliations

Karlsruhe Institute of Technology University Hospital Heidelberg Heidelberg University

About

Paul Maria Scheikl is an author at Karlsruhe Institute of Technology specializing in engineering, medicine, and surgery.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	161
2	Medicine	3	3	121
3	Health Sciences	1	1	40
4	Biomedical Engineering	1	1	62
5	Computer Science	1	1	40

Paul Maria Scheikl

Publications

271

Citations

H-Index

Page 1

	Year	Citations
Sim-to-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery Paul Maria Scheikl, Eleonora Tagliabue, Balázs Gyenes, IEEE Robotics and Automation Letters Artificial IntelligenceEngineeringMachine LearningDexterous ManipulationVisual Reinforcement Learning	2022	62
A learning robot for cognitive camera control in minimally invasive surgery Martin Wagner, Andreas Bihlmaier, Hannes Götz Kenngott, Surgical Endoscopy	2021	52
Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, IEEE Robotics and Automation Letters Artificial IntelligenceEngineeringMachine LearningDexterous ManipulationIntelligent Robotics	2024	40
SRT-H: A hierarchical framework for autonomous surgery via language-conditioned imitation learning Ji Woong Kim, Juo-Tung Chen, Pascal Hansen, Science Robotics	2025	39
Deep learning for semantic segmentation of organs and tissues in laparoscopic surgery Paul Maria Scheikl, Stefan Laschewski, Anna Kisilenko, Current Directions in Biomedical Engineering Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningSurgery	2020	38
Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning Paul Maria Scheikl, Balázs Gyenes, Tornike Davitashvili, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Artificial IntelligenceMulti-agent Reinforcement LearningEngineeringRobotic AgentAutonomous Agent System	2021	21
LapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery Paul Maria Scheikl, Balázs Gyenes, Rayan Younis, arXiv (Cornell University)	2023	19

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