Scholar
Paul Maria Scheikl
Google Scholar ID: MMm79XAAAAAJ
Amazon Robotics
Citations & Impact
Citations
409
H-index
9
i10-index
9
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- 1. SRT-H: A hierarchical framework for autonomous surgery via language-conditioned imitation learning (Science Robotics, 2025)
- 2. Point Cloud Segmentation for Autonomous Clip Positioning in Laparoscopic Cholecystectomy on a Phantom (IEEE Robotics and Automation Letters (RA-L), 2025)
- 3. Autonomous Vision-Guided Resection of Central Airway Obstruction (Journal of Medical Robotics Research (JMRR), 2025)
- 4. LUDO: Low-Latency Understanding of Deformable Objects Using Point Cloud Occupancy Functions (IEEE Transactions on Robotics (T-RO), 2025)
Research Experience
- 1. Applied Scientist at Amazon Robotics, working on the Vulcan project.
- 2. Postdoc at Johns Hopkins University, working under the guidance of Axel Krieger in the Laboratory for Computational Sensing and Robotics (LCSR).
Education
- PhD (Dr.-Ing.): Department of Artificial Intelligence in Biomedical Engineering at Friedrich-Alexander University Erlangen-Nürnberg, Germany, advised by Franziska Mathis-Ullrich.
Background
- Research interests lie at the intersection of robotics, computer vision, and machine learning, particularly in learning visumotor policies for complex object manipulation tasks. Worked on imitation learning, reinforcement learning, semantic segmentation, deformable object simulation, and sim-to-real transfer during doctoral studies.
