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Intuitive Surgical (United States)

United States

14 papers here361 citations across 14
fields
  • cs.CV6
  • cs.RO5
  • eess.IV2
  • cs.LG1
ROR 05g2n4m79OpenAlex

affiliations via OpenAlex

output
20172025
most citedAccelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit

159 citations

researchers with a paper here
  • O. Mohareri4 · h 16
  • J. Burdick3 · h 81
  • M. Allan3 · h 20
  • M. Azizian3 · h 16
  • Yidan Qin3 · h 4
  • Adam Schmidt2 · h 8
  • Danail Stoyanov2
  • N. Padoy2 · h 34
  • S. DiMaio2 · h 32
  • Seyedshams Feyzabadi2 · h 8
  • Sista Raviteja2 · h 4
  • S. Salcudean2 · h 66
collaborating institutions
  • California Institute of TechnologyUS3 papers
  • Johns Hopkins UniversityUS3 papers
  • University College LondonGB3 papers
  • University of British ColumbiaCA3 papers
  • Centre National de la Recherche ScientifiqueFR2 papers
  • Imperial College LondonGB2 papers
  • Indian Institute of Technology KharagpurIN2 papers
  • Institut de Chirurgie Guidée par l'ImageFR2 papers
  • Université de StrasbourgFR2 papers
  • Wellcome / EPSRC Centre for Interventional and Surgical SciencesGB2 papers
  • Agostino Gemelli University PolyclinicIT1 paper
  • Auburn UniversityUS1 paper
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2020★ 15 cited

Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms

Aaron J. Snoswell, Surya P. N. Singh, Nan Ye

We provide new perspectives and inference algorithms for Maximum Entropy (MaxEnt) Inverse Reinforcement Learning (IRL), which provides a principled method to find a most non-commit…

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