For more information regarding the challenge, please visit https://collaborative-robotics.github.io/surgical-robotics-challenge/challenge-2021.html

Please checkout the Discussions Tab for asking questions, posting suggestions, connecting with the community and for keeping up to date with the challenge.

Make sure that the correct version of ROS is installed and sourced on your system. For streaming the image and depth data out of AMBF, please also install the following ROS packages

• cv_bridge
• image_transport

apt-get install ros-<version>-cv-bridge ros-<version>-image-transport

Then, clone, build and source AMBF's ambf-2.0 branch.

https://github.com/WPI-AIM/ambf/tree/ambf-2.0

First time cloning:

git clone https://github.com/WPI-AIM/ambf.git
cd ambf
git checkout -b ambf-2.0 origin/ambf-2.0

In case there are updates to AMBF, you can simply update your local copy by:

git pull

Don't forget to build the repo using the instructions on AMBF's Readme

Please refer to README in the scripts folder for instructions on installing the Python package for system-wide access.

You can alternatively use Dockerfiles to create Docker images by following the instructions here:

https://github.com/collaborative-robotics/docker_surgical_robotics_challenge

The simulation is spawned in AMBF with the launch file and AMBF Description Format (ADF) files from this repo: The ambf_simulator binary resides in ambf/bin/lin-x86_64. You should be in that directory before running the commands below. Alternatively, you can create a symlink to this binary.

./ambf_simulator --launch_file <surgical_robotics_challenge>/launch.yaml -l 0,1,3,4,14,15 -p 120 -t 1 --override_max_comm_freq 120

This is an example of what the scene should look like (minus the motions of the PSM, Needle etc.):

To launch a different scene with just the needle (without any thread), you can run:

./ambf_simulator --launch_file <surgical_robotics_challenge>/launch.yaml -l 0,1,3,4,13,14 -p 200 -t 1 --override_max_comm_freq 120

And this is what the scene should now look like:

To understand the launch file, visit the following link:

https://github.com/WPI-AIM/ambf/wiki/Selecting-Robots

The simulated camera(s) is defined in the World file (world_stereo.yaml) which is set in the launch.yaml file. To enable the camera(s) to publish the scene image or depth data, follow the instructions on this page:

https://github.com/WPI-AIM/ambf/wiki/Camera-feed-and-depth-camera

To better understand the different camera coordinate frames and the difference between the AMBF and the Opencv camera convention, please refer to camera_convention.md

You can press CTRL+R to reset the rigid bodies in simulation, and CTRL+V to reset the camera pose if you changed it with the mouse.

The launch arguments provided above e.g. (-l 0,1,3,4,14,15 -p 200 -t 1) define the launch file, the list of ADF files to load, simulation frequency and time-stepping technique. For a full list of arguments, please refer to this link:

https://github.com/WPI-AIM/ambf/wiki/Command-Line-Arguments

Please take a look at the scripts in the scripts folder:

The code in the scripts folder allows the dVRK MTMs or Geomagic Touch / Phantom Omni to control the simulated PSMs.

With the simulation already running, run the dvrk-ros application for the dVRK MTMs or the ROS application for the Geomagic Touch/Phantom Omni. You can find the relevant code for them here:

a. https://github.com/jhu-dvrk/dvrk-ros (dvrk-ros)

b. https://github.com/WPI-AIM/ros_geomagic (geomagic_touch/phantom_omni)

Then run one of the corresponding python scripts:

a. scripts/surgical_robotics_challenge/teleoperation/mtm_multi_psm_control.py (For MTMs)

b. scripts/surgical_robotics_challenge/geomagic_multi_psm_control.py (For Geomagic Touch/Phantom Omni)

Refer to the README in the scripts folder for further information

If you find this work useful, please cite it as:

@article{munawar2022open,
  title={Open Simulation Environment for Learning and Practice of Robot-Assisted Surgical Suturing},
  author={Munawar, Adnan and Wu, Jie Ying and Fischer, Gregory S and Taylor, Russell H and Kazanzides, Peter},
  journal={IEEE Robotics and Automation Letters},
  volume={7},
  number={2},
  pages={3843--3850},
  year={2022},
  publisher={IEEE}
}