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Paul Maria Scheikl

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • cs.RO1
ORCID 0000-0002-8079-1425

identity via Semantic Scholar / OpenAlex

most citedLapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery

20 citations · 21 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023

Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud

Pit Henrich, Balázs Gyenes, Paul Maria Scheikl +2

In deformable object manipulation, we often want to interact with specific segments of an object that are only defined in non-deformed models of the object. We thus require a syste…

cs.LG2023★ 1 cited

Grounding Graph Network Simulators using Physical Sensor Observations

Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl +2

Physical simulations that accurately model reality are crucial for many engineering disciplines such as mechanical engineering and robotic motion planning. In recent years, learned…

cs.RO2023★ 20 cited

LapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery

Paul Maria Scheikl, Balázs Gyenes, Rayan Younis +4

Recent advances in reinforcement learning (RL) have increased the promise of introducing cognitive assistance and automation to robot-assisted laparoscopic surgery (RALS). However,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.