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stEVE_bench

Collection of benchmark environments based on stEVE - simulated Endovascular Environment for research in robotic endovascular interventions.

Getting Started

  1. Setup stEVE (including Sofa)
  2. Install stEVE_bench package
    python3 -m pip install -e .
    
  3. Test the installation
    python3 examples/function_check.py
    

Benchmark Environments

BasicWireNav
ArchVariety
DualDeviceNav

How to use

This collection implements interventions of the EVE framework.

You can use the intervention directly if you add a visualization from stEVE. Look here to find examples how to add the visualization.

To be used as gymnasium Env you need to add observation, reward, terminal and truncation from stEVE. Look here to find examples how to use the benchmark environments in an reinforcement learning setup.

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Endovascular Environment: Collection of Endovascular Environments to benchmark autonomous controller

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