Our mission is to advance the application of machine learning in robotic surgery. Our primary application domain is the telesurgical approach exemplified in operating rooms by the da Vinci surgical system and in research labs by the da Vinci Research Kit (dVRK) and Raven II open platforms.
surgical-robotics-ai
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surgical_robotics_challenge
surgical_robotics_challenge PublicInteractive Robot Assisted Suturing Simulation
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docker_surgical_robotics_challenge
docker_surgical_robotics_challenge PublicDocker Files for the Surgical Robotics Challenge
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realistic-6dof-data-generation
realistic-6dof-data-generation PublicRepository for the paper "Realistic Data Generation for 6-Dof Pose Estimation of Surgical Instruments"
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- psmoveapi Public Forked from thp/psmoveapi
Cross-platform library for 6DoF tracking of the PS Move Motion Controller. Sensor fusion, computer vision, ambient display (LED orb).
surgical-robotics-ai/psmoveapi’s past year of commit activity - ISMR2024-realistic-simulation-via-error-injection Public
Repository for the ISMR 2024 paper "Improving the realism of robotic surgery simulation through injection of learning-based estimated errors"
surgical-robotics-ai/ISMR2024-realistic-simulation-via-error-injection’s past year of commit activity - realistic-6dof-data-generation Public
Repository for the paper "Realistic Data Generation for 6-Dof Pose Estimation of Surgical Instruments"
surgical-robotics-ai/realistic-6dof-data-generation’s past year of commit activity - ISMR-workshop-2023 Public
surgical-robotics-ai/ISMR-workshop-2023’s past year of commit activity - dVRK-segmentation-models Public
surgical-robotics-ai/dVRK-segmentation-models’s past year of commit activity
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